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update language and embedding model #17484

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merged 3 commits into from
Jan 11, 2025
Merged

update language and embedding model #17484

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6ba1b83
change to nvidia/llama-3.2-nv-embedqa-1b-v2
dglogo Jan 8, 2025
3e59c16
Merge branch 'run-llama:main' into main
dglogo Jan 11, 2025
fccff60
language and embedding model
dglogo Jan 11, 2025
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8 changes: 4 additions & 4 deletions docs/docs/examples/agent/nvidia_document_research_assistant_for_blog_creation.ipynb
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Expand Up @@ -10,9 +10,9 @@
"\n",
"Deploy with Launchables. Launchables are pre-configured, fully optimized environments that users can deploy with a single click.\n",
"\n",
"In this notebook, you will use NVIDIA NIM Microservices for the LLM, llama-3.3-70b, to generate a report on a given topic. You will also use a NIM for an NVIDIA text embedding model, nv-embedqa-e5-v5. Given a set of documents, LlamaIndex will create an Index which it can run queries against. \n",
"In this notebook, you will use an NVIDIA LLM NIM microservice (llama-3.3-70b) to generate a report on a given topic, and an NVIDIA NeMo Retriever embedding NIM (llama-3.2-nv-embedqa-1b-v2) for optimized text question-answering retrieval. Given a set of documents, LlamaIndex will create an Index which it can run queries against. \n",
"\n",
"You can get started by leveraging NVIDIA API Catalog and call a hosted model's NIM API Endpoint. Once you familiarize yourself with this blueprint, you may want to self-host models with NIM Microservices.\n",
"You can get started by calling a hosted model's NIM API endpoint from the NVIDIA API catalog. Once you familiarize yourself with this blueprint, you may want to self-host models with NVIDIA NIM.\n",
"\n",
"The Blueprint provides a workflow architecture for automating and orchestrating the creation of well-researched, high-quality content. \n",
"\n",
Expand Down Expand Up @@ -259,7 +259,7 @@
"### Set LLM and Embedding Model\n",
"\n",
"In this notebook, you will use the newest llama model, llama-3.3-70b-instruct, as the LLM.\n",
"You will also use NVIDIA's embedding model, nv-embedqa-e5-v5."
"You will also use NVIDIA's embedding model, llama-3.2-nv-embedqa-1b-v2."
]
},
{
Expand All @@ -272,7 +272,7 @@
"\n",
"Settings.llm = NVIDIA(model=\"meta/llama-3.3-70b-instruct\")\n",
"Settings.embed_model = NVIDIAEmbedding(\n",
" model=\"nvidia/nv-embedqa-e5-v5\", truncate=\"END\"\n",
" model=\"nvidia/llama-3.2-nv-embedqa-1b-v2\", truncate=\"END\"\n",
")"
]
},
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