diff --git a/docker-compose.yaml b/docker-compose.yaml
index bd0fa3682a..b230c21d1a 100644
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@@ -60,7 +60,7 @@ services:
   ollama:
     image: traefik:v2.10
     ports:
-      - "11434:11434"
+      - "8080:8080"
     command:
       - "--providers.file.filename=/etc/router.yml"
       - "--log.level=ERROR"
@@ -82,6 +82,8 @@ services:
   # Ollama service for the CPU mode
   ollama-cpu:
     image: ollama/ollama:latest
+    ports:
+      - "11434:11434"
     volumes:
       - ./local_data:/root/.ollama
     profiles:
@@ -91,6 +93,8 @@ services:
   # Ollama service for the CUDA mode
   ollama-cuda:
     image: ollama/ollama:latest
+    ports:
+      - "11434:11434"
     volumes:
       - ./models:/root/.ollama
     deploy:
diff --git a/poetry.lock b/poetry.lock
index fa9d382610..6dfdf3e86c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -24,102 +24,102 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.5"
+version = "3.10.6"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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+    {file = "aiohttp-3.10.6.tar.gz", hash = "sha256:d2578ef941be0c2ba58f6f421a703527d08427237ed45ecb091fed6f83305336"},
 ]
 
 [package.dependencies]
@@ -128,7 +128,7 @@ aiosignal = ">=1.1.2"
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+yarl = ">=1.12.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -390,50 +390,61 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "22.12.0"
+version = "24.8.0"
 description = "The uncompromising code formatter."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "black-24.8.0-py3-none-any.whl", hash = "sha256:972085c618ee94f402da1af548a4f218c754ea7e5dc70acb168bfaca4c2542ed"},
+    {file = "black-24.8.0.tar.gz", hash = "sha256:2500945420b6784c38b9ee885af039f5e7471ef284ab03fa35ecdde4688cd83f"},
 ]
 
 [package.dependencies]
 click = ">=8.0.0"
 mypy-extensions = ">=0.4.3"
+packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)"]
+d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.35.25"
+version = "1.35.27"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.25-py3-none-any.whl", hash = "sha256:b1cfad301184cdd44dfd4805187ccab12de8dd28dd12a11a5cfdace17918c6de"},
-    {file = "boto3-1.35.25.tar.gz", hash = "sha256:5df4e2cbe3409db07d3a0d8d63d5220ce3202a78206ad87afdbb41519b26ce45"},
+    {file = "boto3-1.35.27-py3-none-any.whl", hash = "sha256:3da139ca038032e92086e26d23833b557f0c257520162bfd3d6f580bf8032c86"},
+    {file = "boto3-1.35.27.tar.gz", hash = "sha256:10d0fe15670b83a3f26572ab20d9152a064cee4c54b5ea9a1eeb1f0c3b807a7b"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.25,<1.36.0"
+botocore = ">=1.35.27,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -442,13 +453,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.25"
+version = "1.35.27"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.25-py3-none-any.whl", hash = "sha256:e58d60260abf10ccc4417967923117c9902a6a0cff9fddb6ea7ff42dc1bd4630"},
-    {file = "botocore-1.35.25.tar.gz", hash = "sha256:76c5706b2c6533000603ae8683a297c887abbbaf6ee31e1b2e2863b74b2989bc"},
+    {file = "botocore-1.35.27-py3-none-any.whl", hash = "sha256:c299c70b5330a8634e032883ce8a72c2c6d9fdbc985d8191199cb86b92e7cbbd"},
+    {file = "botocore-1.35.27.tar.gz", hash = "sha256:f68875c26cd57a9d22c0f7a981ecb1636d7ce4d0e35797e04765b53e7bfed3e7"},
 ]
 
 [package.dependencies]
@@ -736,13 +747,13 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.5.7"
+version = "0.5.9"
 description = "Chroma."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "chromadb-0.5.7-py3-none-any.whl", hash = "sha256:2358f92804cd198b125de73076ec48f9f55c729df119919a76a6716ad0e465f6"},
-    {file = "chromadb-0.5.7.tar.gz", hash = "sha256:3432865025ef3ceeaee0a59b265a784d8b5978cb7c41593c74ddd2427c776c94"},
+    {file = "chromadb-0.5.9-py3-none-any.whl", hash = "sha256:0e7a05f03e0d27d31135abf8e681913c193c314fcbeeba456adeaa17395d697e"},
+    {file = "chromadb-0.5.9.tar.gz", hash = "sha256:1e47fffe72625e1cddf2af4d570eb39aa06c2613d509dfeb9204ac57d6cf03d9"},
 ]
 
 [package.dependencies]
@@ -1319,34 +1330,35 @@ tests = ["pytest"]
 
 [[package]]
 name = "fastapi"
-version = "0.111.1"
+version = "0.115.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.111.1-py3-none-any.whl", hash = "sha256:4f51cfa25d72f9fbc3280832e84b32494cf186f50158d364a8765aabf22587bf"},
-    {file = "fastapi-0.111.1.tar.gz", hash = "sha256:ddd1ac34cb1f76c2e2d7f8545a4bcb5463bce4834e81abf0b189e0c359ab2413"},
+    {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"},
+    {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"},
 ]
 
 [package.dependencies]
-email_validator = ">=2.0.0"
-fastapi-cli = ">=0.0.2"
-httpx = ">=0.23.0"
+email-validator = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
+fastapi-cli = {version = ">=0.0.5", extras = ["standard"], optional = true, markers = "extra == \"all\""}
+httpx = {version = ">=0.23.0", optional = true, markers = "extra == \"all\""}
 itsdangerous = {version = ">=1.1.0", optional = true, markers = "extra == \"all\""}
-jinja2 = ">=2.11.2"
+jinja2 = {version = ">=2.11.2", optional = true, markers = "extra == \"all\""}
 orjson = {version = ">=3.2.1", optional = true, markers = "extra == \"all\""}
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
 pydantic-extra-types = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
 pydantic-settings = {version = ">=2.0.0", optional = true, markers = "extra == \"all\""}
-python-multipart = ">=0.0.7"
+python-multipart = {version = ">=0.0.7", optional = true, markers = "extra == \"all\""}
 pyyaml = {version = ">=5.3.1", optional = true, markers = "extra == \"all\""}
-starlette = ">=0.37.2,<0.38.0"
+starlette = ">=0.37.2,<0.39.0"
 typing-extensions = ">=4.8.0"
 ujson = {version = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0", optional = true, markers = "extra == \"all\""}
-uvicorn = {version = ">=0.12.0", extras = ["standard"]}
+uvicorn = {version = ">=0.12.0", extras = ["standard"], optional = true, markers = "extra == \"all\""}
 
 [package.extras]
-all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "fastapi-cli"
@@ -1370,7 +1382,7 @@ standard = ["uvicorn[standard] (>=0.15.0)"]
 name = "ffmpy"
 version = "0.4.0"
 description = "A simple Python wrapper for FFmpeg"
-optional = false
+optional = true
 python-versions = "<4.0.0,>=3.8.1"
 files = [
     {file = "ffmpy-0.4.0-py3-none-any.whl", hash = "sha256:39c0f20c5b465e7f8d29a5191f3a7d7675a8c546d9d985de8921151cd9b59e14"},
@@ -1644,13 +1656,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.146.0"
+version = "2.147.0"
 description = "Google API Client Library for Python"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google_api_python_client-2.146.0-py2.py3-none-any.whl", hash = "sha256:b1e62c9889c5ef6022f11d30d7ef23dc55100300f0e8aaf8aa09e8e92540acad"},
-    {file = "google_api_python_client-2.146.0.tar.gz", hash = "sha256:41f671be10fa077ee5143ee9f0903c14006d39dc644564f4e044ae96b380bf68"},
+    {file = "google_api_python_client-2.147.0-py2.py3-none-any.whl", hash = "sha256:c6ecfa193c695baa41e84562d8f8f244fcd164419eca3fc9fd7565646668f9b2"},
+    {file = "google_api_python_client-2.147.0.tar.gz", hash = "sha256:e864c2cf61d34c00f05278b8bdb72b93b6fa34f0de9ead51d20435f3b65f91be"},
 ]
 
 [package.dependencies]
@@ -2308,17 +2320,17 @@ files = [
 
 [[package]]
 name = "injector"
-version = "0.21.0"
+version = "0.22.0"
 description = "Injector - Python dependency injection framework, inspired by Guice"
 optional = false
 python-versions = "*"
 files = [
-    {file = "injector-0.21.0-py2.py3-none-any.whl", hash = "sha256:3942c5e4c501d390d5ad1b8d7d486ef93b844934afeeb17211acb6c4ca29eeb4"},
-    {file = "injector-0.21.0.tar.gz", hash = "sha256:919eb6b9f96f40bf98fda34c79762b217bd1544d9adc35805ff2948e92356c9c"},
+    {file = "injector-0.22.0-py2.py3-none-any.whl", hash = "sha256:74379ccef3b893bc7d0b7d504c255b5160c5a55e97dc7bdcc73cb33cc7dce3a1"},
+    {file = "injector-0.22.0.tar.gz", hash = "sha256:79b2d4a0874c75d3aa735f11c5b32b89d9542711ca07071161882c5e9cc15ed6"},
 ]
 
 [package.extras]
-dev = ["black (==23.3.0)", "build (==0.10.0)", "check-manifest (==0.49)", "click (==8.1.3)", "coverage (==7.2.7)", "exceptiongroup (==1.1.1)", "iniconfig (==2.0.0)", "mypy (==1.4.1)", "mypy-extensions (==1.0.0)", "packaging (==23.1)", "pathspec (==0.11.1)", "platformdirs (==3.8.0)", "pluggy (==1.2.0)", "pyproject-hooks (==1.0.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "tomli (==2.0.1)", "typing-extensions (==4.7.0)"]
+dev = ["black (==24.3.0)", "build (==1.0.3)", "check-manifest (==0.49)", "click (==8.1.7)", "coverage[toml] (==7.3.2)", "exceptiongroup (==1.2.0)", "importlib-metadata (==7.0.0)", "iniconfig (==2.0.0)", "mypy (==1.7.1)", "mypy-extensions (==1.0.0)", "packaging (==23.2)", "pathspec (==0.12.1)", "platformdirs (==4.1.0)", "pluggy (==1.3.0)", "pyproject-hooks (==1.0.0)", "pytest (==7.4.3)", "pytest-cov (==4.1.0)", "tomli (==2.0.1)", "typing-extensions (==4.9.0)", "zipp (==3.17.0)"]
 
 [[package]]
 name = "itsdangerous"
@@ -2625,13 +2637,13 @@ test = ["fastapi (>=0.100.0)", "httpx (>=0.24.1)", "pydantic-settings (>=2.0.1)"
 
 [[package]]
 name = "llama-index-core"
-version = "0.10.68.post1"
+version = "0.11.13.post1"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 [package.dependencies]
@@ -2643,11 +2655,10 @@ fsspec = ">=2023.5.0"
 httpx = "*"
 nest-asyncio = ">=1.5.8,<2.0.0"
 networkx = ">=3.0"
-nltk = ">=3.8.1,<3.9 || >3.9"
+nltk = ">3.8.1"
 numpy = "<2.0.0"
-pandas = "*"
 pillow = ">=9.0.0"
-pydantic = "<3.0"
+pydantic = ">=2.7.0,<3.0.0"
 PyYAML = ">=6.0.1"
 requests = ">=2.31.0"
 SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
@@ -2660,232 +2671,235 @@ wrapt = "*"
 
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+version = "0.2.5"
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 python-versions = "<4.0,>=3.8.1"
 files = [
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 [[package]]
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 [[package]]
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 [[package]]
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 [[package]]
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 [[package]]
 name = "llama-index-llms-fireworks"
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 description = "llama-index llms fireworks integration"
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 [[package]]
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 files = [
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 pillow = ">=10.2.0,<11.0.0"
 
 [[package]]
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 description = "llama-index llms llama cpp integration"
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 python-versions = "<4.0,>=3.8.1"
 files = [
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 [[package]]
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 [[package]]
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 [[package]]
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 [[package]]
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-llama-index-core = ">=0.10.37.post1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+pandas = "*"
 pypdf = ">=4.0.1,<5.0.0"
 striprtf = ">=0.0.26,<0.0.27"
 
@@ -2894,125 +2908,125 @@ pymupdf = ["pymupdf (>=1.23.21,<2.0.0)"]
 
 [[package]]
 name = "llama-index-storage-docstore-postgres"
-version = "0.1.3"
+version = "0.2.0"
 description = "llama-index docstore postgres integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_storage_docstore_postgres-0.1.3-py3-none-any.whl", hash = "sha256:6115dff062caebfce936a2b4224ac86ad35a168048cd6d49b6e0b9e7349d2146"},
-    {file = "llama_index_storage_docstore_postgres-0.1.3.tar.gz", hash = "sha256:91e926df7119844801b127860067fae5c0964b18140f05e89cb65a984450bacc"},
+    {file = "llama_index_storage_docstore_postgres-0.2.0-py3-none-any.whl", hash = "sha256:93d163bb55746c749f6525feadacaa6b61812382fdce4e6a7a0509f2d0f17ff9"},
+    {file = "llama_index_storage_docstore_postgres-0.2.0.tar.gz", hash = "sha256:cfe7b4c1e23f8acd5b41b08902c94980839e2dfc55fe36f31eec315298260636"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
-llama-index-storage-kvstore-postgres = ">=0.1.2,<0.2.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+llama-index-storage-kvstore-postgres = ">=0.2.0,<0.3.0"
 
 [[package]]
 name = "llama-index-storage-index-store-postgres"
-version = "0.1.4"
+version = "0.3.0"
 description = "llama-index index_store postgres integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_storage_index_store_postgres-0.1.4-py3-none-any.whl", hash = "sha256:dd346571221c9f38c8e383df5a0399cdaad63d34ab590ea24193c860e93b51f6"},
-    {file = "llama_index_storage_index_store_postgres-0.1.4.tar.gz", hash = "sha256:93055c1a1650c4aaec68757ffb9c376d8547f428fd796299575dc364ad08dc92"},
+    {file = "llama_index_storage_index_store_postgres-0.3.0-py3-none-any.whl", hash = "sha256:bfac1e6f7ef5c65858385cf47a517d9df5609ac75ae577f08bf334d26df5267e"},
+    {file = "llama_index_storage_index_store_postgres-0.3.0.tar.gz", hash = "sha256:3a2726e353edc7edbb452ed6f5c7655a548eda95427e5557290f2bab13c33241"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
-llama-index-storage-kvstore-postgres = ">=0.1.2,<0.2.0"
+llama-index-core = ">=0.11.0,<0.12.0"
+llama-index-storage-kvstore-postgres = ">=0.2.0,<0.3.0"
 
 [[package]]
 name = "llama-index-storage-kvstore-postgres"
-version = "0.1.2"
+version = "0.2.0"
 description = "llama-index kvstore postgres integration"
 optional = true
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_storage_kvstore_postgres-0.1.2-py3-none-any.whl", hash = "sha256:6b507ebd6f5c538b30322ead031a91f5111597bb6b29927f1a30db5e13b8f2bc"},
-    {file = "llama_index_storage_kvstore_postgres-0.1.2.tar.gz", hash = "sha256:cf5b84f00b9f78c26a6a89e1ec40dbc7023a3e7615f7da39414fda2196ddedb7"},
+    {file = "llama_index_storage_kvstore_postgres-0.2.0-py3-none-any.whl", hash = "sha256:ff1164c410b58252e91c67e5511c42a10c0428ccbc780c95d8522fa5463ebffe"},
+    {file = "llama_index_storage_kvstore_postgres-0.2.0.tar.gz", hash = "sha256:eb534dd7318f7d519bb9d7d7ecbc72a9d9b34be1d8c9591b309e7284d01695fa"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 
 [[package]]
 name = "llama-index-vector-stores-chroma"
-version = "0.1.10"
+version = "0.2.0"
 description = "llama-index vector_stores chroma integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_vector_stores_chroma-0.1.10-py3-none-any.whl", hash = "sha256:18859272ec8d3ed20bae7e4a9bc18feb4233e8be2a725d33626f283ac41d1475"},
-    {file = "llama_index_vector_stores_chroma-0.1.10.tar.gz", hash = "sha256:97971f7b36461ef37be023b9ceb5531396cc48360d0bdbda51cce1290301cc47"},
+    {file = "llama_index_vector_stores_chroma-0.2.0-py3-none-any.whl", hash = "sha256:3e5bdd037d7c047a12ca5c9776f7d59d2a26f591bb755d924e2e97c3b77e79f8"},
+    {file = "llama_index_vector_stores_chroma-0.2.0.tar.gz", hash = "sha256:9fa7c63605c1e296e179ad5ee504f40a8fec56777caf72f9fa9542bade54d94c"},
 ]
 
 [package.dependencies]
 chromadb = ">=0.4.0,<0.6.0"
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 
 [[package]]
 name = "llama-index-vector-stores-clickhouse"
-version = "0.1.3"
+version = "0.3.1"
 description = "llama-index vector_stores clickhouse integration"
 optional = true
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_vector_stores_clickhouse-0.1.3-py3-none-any.whl", hash = "sha256:fb832aed830e8190db5f29607a84bdf8e99c01f08226b4a672911ca9b11b4546"},
-    {file = "llama_index_vector_stores_clickhouse-0.1.3.tar.gz", hash = "sha256:787ca0b9391abe0f514ae25d2c42e890f1ecbb9ae254337329232546e3355ee1"},
+    {file = "llama_index_vector_stores_clickhouse-0.3.1-py3-none-any.whl", hash = "sha256:38d49bd7e1cc900e4f98e7571678866d1c583b973ebafe15e4b6f2dad37ab147"},
+    {file = "llama_index_vector_stores_clickhouse-0.3.1.tar.gz", hash = "sha256:419e6b55d582e8c86aa68c9c24a86bdb289105ec9c6593ac12ec893c622e49f6"},
 ]
 
 [package.dependencies]
 clickhouse-connect = ">=0.7.0,<0.8.0"
-llama-index-core = ">=0.10.5,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 
 [[package]]
 name = "llama-index-vector-stores-milvus"
-version = "0.1.23"
+version = "0.2.4"
 description = "llama-index vector_stores milvus integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_vector_stores_milvus-0.1.23-py3-none-any.whl", hash = "sha256:862d0103892bb044895a7e2ba34095044954c17af92671b3888424ee2ebad50b"},
-    {file = "llama_index_vector_stores_milvus-0.1.23.tar.gz", hash = "sha256:e6ced1ecfae32f12db354bc8b4d90dc4787cc80588d149361f5681c4fb19d545"},
+    {file = "llama_index_vector_stores_milvus-0.2.4-py3-none-any.whl", hash = "sha256:301cccc4768ed4d996b4d175960d941d31a9fbc4ac367b5aca0116a1ce937e47"},
+    {file = "llama_index_vector_stores_milvus-0.2.4.tar.gz", hash = "sha256:8da6484d6c611f5890b3969d68235b757992def328b16e8479d02dca7c084a53"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 pymilvus = ">=2.3.6,<3.0.0"
 
 [[package]]
 name = "llama-index-vector-stores-postgres"
-version = "0.1.14"
+version = "0.2.5"
 description = "llama-index vector_stores postgres integration"
 optional = true
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_vector_stores_postgres-0.1.14-py3-none-any.whl", hash = "sha256:9ccab6f5f330de7ab8e0c1de7f633b41b4a1bf34fa91eefcc92e22de3015b4d2"},
-    {file = "llama_index_vector_stores_postgres-0.1.14.tar.gz", hash = "sha256:fd736564dac9a28a483ce2ce24469773b906f630840ccd8f484bc4750d0d8605"},
+    {file = "llama_index_vector_stores_postgres-0.2.5-py3-none-any.whl", hash = "sha256:e0676f28c2f0505c3ee142b539669f8c6e55506e22c9b5e7abb1914a4811717f"},
+    {file = "llama_index_vector_stores_postgres-0.2.5.tar.gz", hash = "sha256:24b272808b2494133d07798e7903fc7eee98b87a35d38aef24a363f3778041ce"},
 ]
 
 [package.dependencies]
 asyncpg = ">=0.29.0,<0.30.0"
-llama-index-core = ">=0.10.20,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 pgvector = ">=0.2.4,<0.3.0"
 psycopg2-binary = ">=2.9.9,<3.0.0"
 sqlalchemy = {version = ">=1.4.49,<2.1", extras = ["asyncio"]}
 
 [[package]]
 name = "llama-index-vector-stores-qdrant"
-version = "0.2.17"
+version = "0.3.0"
 description = "llama-index vector_stores qdrant integration"
 optional = true
 python-versions = "<3.13,>=3.9"
 files = [
-    {file = "llama_index_vector_stores_qdrant-0.2.17-py3-none-any.whl", hash = "sha256:ac0a81c8a24e52b292e972a923be356ff7bb933a88b2a49b1172c193c7524cae"},
-    {file = "llama_index_vector_stores_qdrant-0.2.17.tar.gz", hash = "sha256:a898da1929fec298bcd6827823aacdc0a18e6bd553770141069575ae8454bcc3"},
+    {file = "llama_index_vector_stores_qdrant-0.3.0-py3-none-any.whl", hash = "sha256:6b437d679744524bfd26cfe5716cb7b877a7c94f91c51aaa4ff601a1a9205318"},
+    {file = "llama_index_vector_stores_qdrant-0.3.0.tar.gz", hash = "sha256:99663ceb0c92dda55df9c06163ca42be7eb0f3a67401d5ab8ce973f7ced683a2"},
 ]
 
 [package.dependencies]
 grpcio = ">=1.60.0,<2.0.0"
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.11.0,<0.12.0"
 qdrant-client = ">=1.7.1"
 
 [[package]]
@@ -3967,13 +3981,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.47.1"
+version = "1.48.0"
 description = "The official Python library for the openai API"
 optional = true
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.47.1-py3-none-any.whl", hash = "sha256:34277583bf268bb2494bc03f48ac123788c5e2a914db1d5a23d5edc29d35c825"},
-    {file = "openai-1.47.1.tar.gz", hash = "sha256:62c8f5f478f82ffafc93b33040f8bb16a45948306198bd0cba2da2ecd9cf7323"},
+    {file = "openai-1.48.0-py3-none-any.whl", hash = "sha256:7c4af223f0bf615ce4a12453729952c9a8b04ffe8c78aa77981b12fd970149cf"},
+    {file = "openai-1.48.0.tar.gz", hash = "sha256:1d3b69ea62c287c4885a6f3ce840768564cd5f52c60ac5f890fef80d43cc4799"},
 ]
 
 [package.dependencies]
@@ -4518,13 +4532,13 @@ test = ["coverage", "django", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)"
 
 [[package]]
 name = "pre-commit"
-version = "2.21.0"
+version = "3.8.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
-    {file = "pre_commit-2.21.0-py2.py3-none-any.whl", hash = "sha256:e2f91727039fc39a92f58a588a25b87f936de6567eed4f0e673e0507edc75bad"},
-    {file = "pre_commit-2.21.0.tar.gz", hash = "sha256:31ef31af7e474a8d8995027fefdfcf509b5c913ff31f2015b4ec4beb26a6f658"},
+    {file = "pre_commit-3.8.0-py2.py3-none-any.whl", hash = "sha256:9a90a53bf82fdd8778d58085faf8d83df56e40dfe18f45b19446e26bf1b3a63f"},
+    {file = "pre_commit-3.8.0.tar.gz", hash = "sha256:8bb6494d4a20423842e198980c9ecf9f96607a07ea29549e180eef9ae80fe7af"},
 ]
 
 [package.dependencies]
@@ -4898,13 +4912,13 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pymilvus"
-version = "2.4.6"
+version = "2.4.7"
 description = "Python Sdk for Milvus"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "pymilvus-2.4.6-py3-none-any.whl", hash = "sha256:b4c43472edc313b845d313be50610e19054e6954b2c5c3b515565c596c2d3d97"},
-    {file = "pymilvus-2.4.6.tar.gz", hash = "sha256:6ac3eb91c92cc01bbe444fe83f895f02d7b2546d96ac67998630bf31ac074d66"},
+    {file = "pymilvus-2.4.7-py3-none-any.whl", hash = "sha256:1e5d377bd40fa7eb459d3958dbd96201758f5cf997d41eb3d2d169d0b7fa462e"},
+    {file = "pymilvus-2.4.7.tar.gz", hash = "sha256:9ef460b940782a42e1b7b8ae0da03d8cc02d9d80044d13f4b689a7c935ec7aa7"},
 ]
 
 [package.dependencies]
@@ -4990,51 +5004,51 @@ dev = ["build", "flake8", "mypy", "pytest", "twine"]
 
 [[package]]
 name = "pytest"
-version = "7.4.4"
+version = "8.3.3"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
-    {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
+    {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
+    {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=0.12,<2.0"
+pluggy = ">=1.5,<2"
 
 [package.extras]
-testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.21.2"
+version = "0.24.0"
 description = "Pytest support for asyncio"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
-    {file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
+    {file = "pytest_asyncio-0.24.0-py3-none-any.whl", hash = "sha256:a811296ed596b69bf0b6f3dc40f83bcaf341b155a269052d82efa2b25ac7037b"},
+    {file = "pytest_asyncio-0.24.0.tar.gz", hash = "sha256:d081d828e576d85f875399194281e92bf8a68d60d72d1a2faf2feddb6c46b276"},
 ]
 
 [package.dependencies]
-pytest = ">=7.0.0"
+pytest = ">=8.2,<9"
 
 [package.extras]
 docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
-testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
+testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-cov"
-version = "3.0.0"
+version = "5.0.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-cov-3.0.0.tar.gz", hash = "sha256:e7f0f5b1617d2210a2cabc266dfe2f4c75a8d32fb89eafb7ad9d06f6d076d470"},
-    {file = "pytest_cov-3.0.0-py3-none-any.whl", hash = "sha256:578d5d15ac4a25e5f961c938b85a05b09fdaae9deef3bb6de9a6e766622ca7a6"},
+    {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
+    {file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
 ]
 
 [package.dependencies]
@@ -5042,7 +5056,7 @@ coverage = {version = ">=5.2.1", extras = ["toml"]}
 pytest = ">=4.6"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "python-dateutil"
@@ -5074,18 +5088,15 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "python-multipart"
-version = "0.0.9"
+version = "0.0.10"
 description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "python_multipart-0.0.9-py3-none-any.whl", hash = "sha256:97ca7b8ea7b05f977dc3849c3ba99d51689822fab725c3703af7c866a0c2b215"},
-    {file = "python_multipart-0.0.9.tar.gz", hash = "sha256:03f54688c663f1b7977105f021043b0793151e4cb1c1a9d4a11fc13d622c4026"},
+    {file = "python_multipart-0.0.10-py3-none-any.whl", hash = "sha256:2b06ad9e8d50c7a8db80e3b56dab590137b323410605af2be20d62a5f1ba1dc8"},
+    {file = "python_multipart-0.0.10.tar.gz", hash = "sha256:46eb3c6ce6fdda5fb1a03c7e11d490e407c6930a2703fe7aef4da71c374688fa"},
 ]
 
-[package.extras]
-dev = ["atomicwrites (==1.4.1)", "attrs (==23.2.0)", "coverage (==7.4.1)", "hatch", "invoke (==2.2.0)", "more-itertools (==10.2.0)", "pbr (==6.0.0)", "pluggy (==1.4.0)", "py (==1.11.0)", "pytest (==8.0.0)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.2.0)", "pyyaml (==6.0.1)", "ruff (==0.2.1)"]
-
 [[package]]
 name = "pytz"
 version = "2024.2"
@@ -5184,13 +5195,13 @@ files = [
 
 [[package]]
 name = "qdrant-client"
-version = "1.11.2"
+version = "1.11.3"
 description = "Client library for the Qdrant vector search engine"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "qdrant_client-1.11.2-py3-none-any.whl", hash = "sha256:3151e3da61588ad138dfcd6760c2f13e57251c8b0c62001bfd0e03bb7bcd6c8e"},
-    {file = "qdrant_client-1.11.2.tar.gz", hash = "sha256:0d5aa3f778077762963a754459c9c7144ba48e13dea62e559323924126a1b4a4"},
+    {file = "qdrant_client-1.11.3-py3-none-any.whl", hash = "sha256:fcf040b58203ed0827608c9ad957da671b1e31bf27e5e35b322c1b577b6ec133"},
+    {file = "qdrant_client-1.11.3.tar.gz", hash = "sha256:5a155d8281a224ac18acef512eae2f5e9a0907975d52a7627ec66fa6586d0285"},
 ]
 
 [package.dependencies]
@@ -5857,13 +5868,13 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "starlette"
-version = "0.37.2"
+version = "0.38.6"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -5980,111 +5991,111 @@ blobfile = ["blobfile (>=2)"]
 
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 [package.dependencies]
@@ -6182,13 +6193,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.44.2"
+version = "4.45.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -6200,21 +6211,21 @@ pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
-tokenizers = ">=0.19,<0.20"
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 tqdm = ">=4.27"
 
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 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -6225,7 +6236,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
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 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 ruff = ["ruff (==0.5.1)"]
@@ -6235,16 +6246,17 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (<=0.9.16)"]
-tokenizers = ["tokenizers (>=0.19,<0.20)"]
-torch = ["accelerate (>=0.21.0)", "torch"]
+tokenizers = ["tokenizers (>=0.20,<0.21)"]
+torch = ["accelerate (>=0.26.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -7099,14 +7111,14 @@ embeddings-fireworks = ["llama-index-embeddings-fireworks"]
 embeddings-gemini = ["llama-index-embeddings-gemini"]
 embeddings-huggingface = ["einops", "llama-index-embeddings-huggingface"]
 embeddings-mistral = ["llama-index-embeddings-mistralai"]
-embeddings-ollama = ["llama-index-embeddings-ollama", "ollama"]
+embeddings-ollama = ["llama-index-embeddings-ollama"]
 embeddings-openai = ["llama-index-embeddings-openai"]
 embeddings-sagemaker = ["boto3"]
 llms-azopenai = ["llama-index-llms-azure-openai"]
 llms-fireworks = ["llama-index-llms-fireworks"]
-llms-gemini = ["google-generativeai", "llama-index-llms-gemini"]
+llms-gemini = ["llama-index-llms-gemini"]
 llms-llama-cpp = ["llama-index-llms-llama-cpp"]
-llms-ollama = ["llama-index-llms-ollama", "ollama"]
+llms-ollama = ["llama-index-llms-ollama"]
 llms-openai = ["llama-index-llms-openai"]
 llms-openai-like = ["llama-index-llms-openai-like"]
 llms-sagemaker = ["boto3"]
@@ -7122,4 +7134,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "df2024950dd0e9c55ae48020af1a71510cf878d696d2aa076e65cd7ee30b08fe"
+content-hash = "f41ee2165df33fd6815114a9d6b01508e1e8726dd7a8baf99825514586f250f0"
diff --git a/private_gpt/components/ingest/ingest_component.py b/private_gpt/components/ingest/ingest_component.py
index 5ed0395906..77db9702e3 100644
--- a/private_gpt/components/ingest/ingest_component.py
+++ b/private_gpt/components/ingest/ingest_component.py
@@ -403,7 +403,7 @@ def _doc_to_node_worker(self, file_name: str, documents: list[Document]) -> None
                 self.transformations,
                 show_progress=self.show_progress,
             )
-            self.node_q.put(("process", file_name, documents, nodes))
+            self.node_q.put(("process", file_name, documents, list(nodes)))
         finally:
             self.doc_semaphore.release()
             self.doc_q.task_done()  # unblock Q joins
diff --git a/private_gpt/components/ingest/ingest_helper.py b/private_gpt/components/ingest/ingest_helper.py
index a110907022..da62568bcb 100644
--- a/private_gpt/components/ingest/ingest_helper.py
+++ b/private_gpt/components/ingest/ingest_helper.py
@@ -92,7 +92,13 @@ def _load_file_to_documents(file_name: str, file_data: Path) -> list[Document]:
             return string_reader.load_data([file_data.read_text()])
 
         logger.debug("Specific reader found for extension=%s", extension)
-        return reader_cls().load_data(file_data)
+        documents = reader_cls().load_data(file_data)
+
+        # Sanitize NUL bytes in text which can't be stored in Postgres
+        for i in range(len(documents)):
+            documents[i].text = documents[i].text.replace("\u0000", "")
+
+        return documents
 
     @staticmethod
     def _exclude_metadata(documents: list[Document]) -> None:
diff --git a/private_gpt/components/llm/llm_component.py b/private_gpt/components/llm/llm_component.py
index aad12c898f..492ec68456 100644
--- a/private_gpt/components/llm/llm_component.py
+++ b/private_gpt/components/llm/llm_component.py
@@ -133,7 +133,6 @@ def __init__(self, settings: Settings) -> None:
                     api_version="",
                     temperature=settings.llm.temperature,
                     context_window=settings.llm.context_window,
-                    max_new_tokens=settings.llm.max_new_tokens,
                     messages_to_prompt=prompt_style.messages_to_prompt,
                     completion_to_prompt=prompt_style.completion_to_prompt,
                     tokenizer=settings.llm.tokenizer,
@@ -197,10 +196,10 @@ def wrapper(*args: Any, **kwargs: Any) -> Any:
 
                         return wrapper
 
-                    Ollama.chat = add_keep_alive(Ollama.chat)
-                    Ollama.stream_chat = add_keep_alive(Ollama.stream_chat)
-                    Ollama.complete = add_keep_alive(Ollama.complete)
-                    Ollama.stream_complete = add_keep_alive(Ollama.stream_complete)
+                    Ollama.chat = add_keep_alive(Ollama.chat)  # type: ignore
+                    Ollama.stream_chat = add_keep_alive(Ollama.stream_chat)  # type: ignore
+                    Ollama.complete = add_keep_alive(Ollama.complete)  # type: ignore
+                    Ollama.stream_complete = add_keep_alive(Ollama.stream_complete)  # type: ignore
 
                 self.llm = llm
 
diff --git a/private_gpt/components/llm/prompt_helper.py b/private_gpt/components/llm/prompt_helper.py
index 0432e4964f..5875411951 100644
--- a/private_gpt/components/llm/prompt_helper.py
+++ b/private_gpt/components/llm/prompt_helper.py
@@ -40,7 +40,8 @@ def messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
         logger.debug("Got for messages='%s' the prompt='%s'", messages, prompt)
         return prompt
 
-    def completion_to_prompt(self, completion: str) -> str:
+    def completion_to_prompt(self, prompt: str) -> str:
+        completion = prompt  # Fix: Llama-index parameter has to be named as prompt
         prompt = self._completion_to_prompt(completion)
         logger.debug("Got for completion='%s' the prompt='%s'", completion, prompt)
         return prompt
@@ -285,8 +286,9 @@ def _completion_to_prompt(self, completion: str) -> str:
 
 
 def get_prompt_style(
-    prompt_style: Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"]
-    | None
+    prompt_style: (
+        Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"] | None
+    )
 ) -> AbstractPromptStyle:
     """Get the prompt style to use from the given string.
 
diff --git a/private_gpt/components/node_store/node_store_component.py b/private_gpt/components/node_store/node_store_component.py
index f81ce70190..5cd0afbd00 100644
--- a/private_gpt/components/node_store/node_store_component.py
+++ b/private_gpt/components/node_store/node_store_component.py
@@ -38,10 +38,10 @@ def __init__(self, settings: Settings) -> None:
 
             case "postgres":
                 try:
-                    from llama_index.core.storage.docstore.postgres_docstore import (
+                    from llama_index.storage.docstore.postgres import (  # type: ignore
                         PostgresDocumentStore,
                     )
-                    from llama_index.core.storage.index_store.postgres_index_store import (
+                    from llama_index.storage.index_store.postgres import (  # type: ignore
                         PostgresIndexStore,
                     )
                 except ImportError:
@@ -55,6 +55,7 @@ def __init__(self, settings: Settings) -> None:
                 self.index_store = PostgresIndexStore.from_params(
                     **settings.postgres.model_dump(exclude_none=True)
                 )
+
                 self.doc_store = PostgresDocumentStore.from_params(
                     **settings.postgres.model_dump(exclude_none=True)
                 )
diff --git a/private_gpt/components/vector_store/batched_chroma.py b/private_gpt/components/vector_store/batched_chroma.py
index 4f9ea25bc0..54dd04903c 100644
--- a/private_gpt/components/vector_store/batched_chroma.py
+++ b/private_gpt/components/vector_store/batched_chroma.py
@@ -1,14 +1,17 @@
-from collections.abc import Generator
-from typing import Any
+from collections.abc import Generator, Sequence
+from typing import TYPE_CHECKING, Any
 
 from llama_index.core.schema import BaseNode, MetadataMode
 from llama_index.core.vector_stores.utils import node_to_metadata_dict
 from llama_index.vector_stores.chroma import ChromaVectorStore  # type: ignore
 
+if TYPE_CHECKING:
+    from collections.abc import Mapping
+
 
 def chunk_list(
-    lst: list[BaseNode], max_chunk_size: int
-) -> Generator[list[BaseNode], None, None]:
+    lst: Sequence[BaseNode], max_chunk_size: int
+) -> Generator[Sequence[BaseNode], None, None]:
     """Yield successive max_chunk_size-sized chunks from lst.
 
     Args:
@@ -60,7 +63,7 @@ def __init__(
         )
         self.chroma_client = chroma_client
 
-    def add(self, nodes: list[BaseNode], **add_kwargs: Any) -> list[str]:
+    def add(self, nodes: Sequence[BaseNode], **add_kwargs: Any) -> list[str]:
         """Add nodes to index, batching the insertion to avoid issues.
 
         Args:
@@ -78,8 +81,8 @@ def add(self, nodes: list[BaseNode], **add_kwargs: Any) -> list[str]:
 
         all_ids = []
         for node_chunk in node_chunks:
-            embeddings = []
-            metadatas = []
+            embeddings: list[Sequence[float]] = []
+            metadatas: list[Mapping[str, Any]] = []
             ids = []
             documents = []
             for node in node_chunk:
diff --git a/private_gpt/server/chat/chat_service.py b/private_gpt/server/chat/chat_service.py
index ae8cf00897..efa4a1940a 100644
--- a/private_gpt/server/chat/chat_service.py
+++ b/private_gpt/server/chat/chat_service.py
@@ -1,4 +1,5 @@
 from dataclasses import dataclass
+from typing import TYPE_CHECKING
 
 from injector import inject, singleton
 from llama_index.core.chat_engine import ContextChatEngine, SimpleChatEngine
@@ -26,6 +27,9 @@
 from private_gpt.server.chunks.chunks_service import Chunk
 from private_gpt.settings.settings import Settings
 
+if TYPE_CHECKING:
+    from llama_index.core.postprocessor.types import BaseNodePostprocessor
+
 
 class Completion(BaseModel):
     response: str
@@ -114,12 +118,15 @@ def _chat_engine(
                 context_filter=context_filter,
                 similarity_top_k=self.settings.rag.similarity_top_k,
             )
-            node_postprocessors = [
+            node_postprocessors: list[BaseNodePostprocessor] = [
                 MetadataReplacementPostProcessor(target_metadata_key="window"),
-                SimilarityPostprocessor(
-                    similarity_cutoff=settings.rag.similarity_value
-                ),
             ]
+            if settings.rag.similarity_value:
+                node_postprocessors.append(
+                    SimilarityPostprocessor(
+                        similarity_cutoff=settings.rag.similarity_value
+                    )
+                )
 
             if settings.rag.rerank.enabled:
                 rerank_postprocessor = SentenceTransformerRerank(
diff --git a/private_gpt/server/recipes/summarize/summarize_service.py b/private_gpt/server/recipes/summarize/summarize_service.py
index 4bfd18f578..d19657cf7b 100644
--- a/private_gpt/server/recipes/summarize/summarize_service.py
+++ b/private_gpt/server/recipes/summarize/summarize_service.py
@@ -90,9 +90,9 @@ def _summarize(
         # Add context documents to summarize
         if use_context:
             # 1. Recover all ref docs
-            ref_docs: dict[
-                str, RefDocInfo
-            ] | None = self.storage_context.docstore.get_all_ref_doc_info()
+            ref_docs: dict[str, RefDocInfo] | None = (
+                self.storage_context.docstore.get_all_ref_doc_info()
+            )
             if ref_docs is None:
                 raise ValueError("No documents have been ingested yet.")
 
diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index dbb0d2ad5c..03be58aad2 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -137,19 +137,19 @@ class LLMSettings(BaseModel):
         0.1,
         description="The temperature of the model. Increasing the temperature will make the model answer more creatively. A value of 0.1 would be more factual.",
     )
-    prompt_style: Literal[
-        "default", "llama2", "llama3", "tag", "mistral", "chatml"
-    ] = Field(
-        "llama2",
-        description=(
-            "The prompt style to use for the chat engine. "
-            "If `default` - use the default prompt style from the llama_index. It should look like `role: message`.\n"
-            "If `llama2` - use the llama2 prompt style from the llama_index. Based on `<s>`, `[INST]` and `<<SYS>>`.\n"
-            "If `llama3` - use the llama3 prompt style from the llama_index."
-            "If `tag` - use the `tag` prompt style. It should look like `<|role|>: message`. \n"
-            "If `mistral` - use the `mistral prompt style. It shoudl look like <s>[INST] {System Prompt} [/INST]</s>[INST] { UserInstructions } [/INST]"
-            "`llama2` is the historic behaviour. `default` might work better with your custom models."
-        ),
+    prompt_style: Literal["default", "llama2", "llama3", "tag", "mistral", "chatml"] = (
+        Field(
+            "llama2",
+            description=(
+                "The prompt style to use for the chat engine. "
+                "If `default` - use the default prompt style from the llama_index. It should look like `role: message`.\n"
+                "If `llama2` - use the llama2 prompt style from the llama_index. Based on `<s>`, `[INST]` and `<<SYS>>`.\n"
+                "If `llama3` - use the llama3 prompt style from the llama_index."
+                "If `tag` - use the `tag` prompt style. It should look like `<|role|>: message`. \n"
+                "If `mistral` - use the `mistral prompt style. It shoudl look like <s>[INST] {System Prompt} [/INST]</s>[INST] { UserInstructions } [/INST]"
+                "`llama2` is the historic behaviour. `default` might work better with your custom models."
+            ),
+        )
     )
 
 
diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py
index c29e925887..2b3f793b03 100644
--- a/private_gpt/ui/ui.py
+++ b/private_gpt/ui/ui.py
@@ -1,4 +1,5 @@
 """This file should be imported if and only if you want to run the UI locally."""
+
 import base64
 import logging
 import time
diff --git a/pyproject.toml b/pyproject.toml
index b9e9b0efde..c0818e2611 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,66 +7,56 @@ authors = ["Zylon <hi@zylon.ai>"]
 [tool.poetry.dependencies]
 python = ">=3.11,<3.12"
 # PrivateGPT
-fastapi = { extras = ["all"], version = "^0.111.0" }
-python-multipart = "^0.0.9"
-injector = "^0.21.0"
-pyyaml = "^6.0.1"
+fastapi = { extras = ["all"], version = "^0.115.0" }
+python-multipart = "^0.0.10"
+injector = "^0.22.0"
+pyyaml = "^6.0.2"
 watchdog = "^4.0.1"
-transformers = "^4.42.3"
+transformers = "^4.44.2"
 docx2txt = "^0.8"
 cryptography = "^3.1"
 # LlamaIndex core libs
-llama-index-core = "^0.10.52"
-llama-index-readers-file = "^0.1.27"
+llama-index-core = ">=0.11.2,<0.12.0"
+llama-index-readers-file = "*"
 # Optional LlamaIndex integration libs
-llama-index-llms-llama-cpp = {version = "^0.1.4", optional = true}
-llama-index-llms-openai = {version = "^0.1.25", optional = true}
-llama-index-llms-openai-like = {version ="^0.1.3", optional = true}
-llama-index-llms-ollama = {version ="^0.2.2", optional = true}
-llama-index-llms-azure-openai = {version ="^0.1.8", optional = true}
-llama-index-llms-gemini = {version ="^0.1.11", optional = true}
-llama-index-embeddings-ollama = {version ="^0.1.2", optional = true}
-llama-index-embeddings-huggingface = {version ="^0.2.2", optional = true}
-llama-index-embeddings-openai = {version ="^0.1.10", optional = true}
-llama-index-embeddings-azure-openai = {version ="^0.1.10", optional = true}
-llama-index-embeddings-gemini = {version ="^0.1.8", optional = true}
-llama-index-embeddings-mistralai = {version ="^0.1.6", optional = true}
-llama-index-vector-stores-qdrant = {version ="^0.2.10", optional = true}
-llama-index-vector-stores-milvus = {version ="^0.1.20", optional = true}
-llama-index-vector-stores-chroma = {version ="^0.1.10", optional = true}
-llama-index-vector-stores-postgres = {version ="^0.1.11", optional = true}
-llama-index-vector-stores-clickhouse = {version ="^0.1.3", optional = true}
-llama-index-storage-docstore-postgres = {version ="^0.1.3", optional = true}
-llama-index-storage-index-store-postgres = {version ="^0.1.4", optional = true}
-llama-index-llms-fireworks = {version = "^0.1.5", optional = true}
-llama-index-embeddings-fireworks = {version = "^0.1.2", optional = true}
-
+llama-index-llms-llama-cpp = {version = "*", optional = true}
+llama-index-llms-openai = {version ="*", optional = true}
+llama-index-llms-openai-like = {version ="*", optional = true}
+llama-index-llms-ollama = {version ="*", optional = true}
+llama-index-llms-azure-openai = {version ="*", optional = true}
+llama-index-llms-gemini = {version ="*", optional = true}
+llama-index-embeddings-ollama = {version ="*", optional = true}
+llama-index-embeddings-huggingface = {version ="*", optional = true}
+llama-index-embeddings-openai = {version ="*", optional = true}
+llama-index-embeddings-azure-openai = {version ="*", optional = true}
+llama-index-embeddings-gemini = {version ="*", optional = true}
+llama-index-embeddings-mistralai = {version ="*", optional = true}
+llama-index-vector-stores-qdrant = {version ="*", optional = true}
+llama-index-vector-stores-milvus = {version ="*", optional = true}
+llama-index-vector-stores-chroma = {version ="*", optional = true}
+llama-index-vector-stores-postgres = {version ="*", optional = true}
+llama-index-vector-stores-clickhouse = {version ="*", optional = true}
+llama-index-storage-docstore-postgres = {version ="*", optional = true}
+llama-index-storage-index-store-postgres = {version ="*", optional = true}
+llama-index-llms-fireworks = {version = "*", optional = true}
+llama-index-embeddings-fireworks = {version = "*", optional = true}
 # Postgres
 psycopg2-binary = {version ="^2.9.9", optional = true}
 asyncpg = {version="^0.29.0", optional = true}
 
 # ClickHouse
-clickhouse-connect = {version = "^0.7.15", optional = true}
+clickhouse-connect = {version = "^0.7.19", optional = true}
 
 # Optional Sagemaker dependency
-boto3 = {version ="^1.34.139", optional = true}
-
-# Optional Qdrant client
-qdrant-client = {version ="^1.9.0", optional = true}
+boto3 = {version ="^1.35.26", optional = true}
 
 # Optional Reranker dependencies
-torch = {version ="^2.3.1", optional = true}
-sentence-transformers = {version ="^3.0.1", optional = true}
+torch = {version ="^2.4.1", optional = true}
+sentence-transformers = {version ="^3.1.1", optional = true}
 
 # Optional UI
-gradio = {version ="^4.37.2", optional = true}
-ffmpy = "0.4.0"
-
-# Optional Google Gemini dependency
-google-generativeai = {version ="^0.5.4", optional = true}
-
-# Optional Ollama client
-ollama = {version ="^0.3.0", optional = true}
+gradio = {version ="^4.44.0", optional = true}
+ffmpy = {version ="^0.4.0", optional = true}
 
 # Optional HF Transformers
 einops = {version = "^0.8.0", optional = true}
@@ -77,11 +67,11 @@ ui = ["gradio", "ffmpy"]
 llms-llama-cpp = ["llama-index-llms-llama-cpp"]
 llms-openai = ["llama-index-llms-openai"]
 llms-openai-like = ["llama-index-llms-openai-like"]
-llms-ollama = ["llama-index-llms-ollama", "ollama"]
+llms-ollama = ["llama-index-llms-ollama"]
 llms-sagemaker = ["boto3"]
 llms-azopenai = ["llama-index-llms-azure-openai"]
-llms-gemini = ["llama-index-llms-gemini", "google-generativeai"]
-embeddings-ollama = ["llama-index-embeddings-ollama", "ollama"]
+llms-gemini = ["llama-index-llms-gemini"]
+embeddings-ollama = ["llama-index-embeddings-ollama"]
 embeddings-huggingface = ["llama-index-embeddings-huggingface", "einops"]
 embeddings-openai = ["llama-index-embeddings-openai"]
 embeddings-sagemaker = ["boto3"]
@@ -99,14 +89,14 @@ llms-fireworks = ["llama-index-llms-fireworks"]
 embeddings-fireworks = ["llama-index-embeddings-fireworks"]
 
 [tool.poetry.group.dev.dependencies]
-black = "^22"
-mypy = "^1.2"
-pre-commit = "^2"
-pytest = "^7"
-pytest-cov = "^3"
+black = "^24"
+mypy = "^1.11"
+pre-commit = "^3"
+pytest = "^8"
+pytest-cov = "^5"
 ruff = "^0"
-pytest-asyncio = "^0.21.1"
-types-pyyaml = "^6.0.12.12"
+pytest-asyncio = "^0.24.0"
+types-pyyaml = "^6.0.12.20240917"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]