Langchain_with_chromaDB.ipynb

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      "metadata": {
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        "<a href=\"https://colab.research.google.com/github/avikumart/LLM-GenAI-Transformers-Notebooks/blob/main/Langchain_with_chromaDB.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tuturial to use LangChain with Chromadb and OpenAI"
      ],
      "metadata": {
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    },
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.6/73.6 kB\u001b[0m \u001b[31m4.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[?25h  Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
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        }
      ],
      "source": [
        "!pip install openai langchain sentence_transformers -q"
      ]
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        "!pip install unstructured -q"
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      "execution_count": 2,
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          "text": [
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m112.2/112.2 kB\u001b[0m \u001b[31m4.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.3/4.3 MB\u001b[0m \u001b[31m97.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[?25h  Building wheel for python-docx (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for python-pptx (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for olefile (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# install the environment dependencies\n",
        "!pip install pydantic==1.10.8\n",
        "!pip install typing-inspect==0.8.0 typing_extensions==4.5.\n",
        "!pip install chromadb==0.3.26"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2XZzMlUcI68Y",
        "outputId": "bd9429d8-3c67-409f-afec-7668c79b618f"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting pydantic==1.10.8\n",
            "  Downloading pydantic-1.10.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)\n",
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            "\u001b[?25hRequirement already satisfied: typing-extensions>=4.2.0 in /usr/local/lib/python3.10/dist-packages (from pydantic==1.10.8) (4.7.1)\n",
            "Installing collected packages: pydantic\n",
            "  Attempting uninstall: pydantic\n",
            "    Found existing installation: pydantic 1.10.11\n",
            "    Uninstalling pydantic-1.10.11:\n",
            "      Successfully uninstalled pydantic-1.10.11\n",
            "Successfully installed pydantic-1.10.8\n",
            "Collecting typing-inspect==0.8.0\n",
            "  Downloading typing_inspect-0.8.0-py3-none-any.whl (8.7 kB)\n",
            "Collecting typing_extensions==4.5.\n",
            "  Downloading typing_extensions-4.5.0-py3-none-any.whl (27 kB)\n",
            "Requirement already satisfied: mypy-extensions>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from typing-inspect==0.8.0) (1.0.0)\n",
            "Installing collected packages: typing_extensions, typing-inspect\n",
            "  Attempting uninstall: typing_extensions\n",
            "    Found existing installation: typing_extensions 4.7.1\n",
            "    Uninstalling typing_extensions-4.7.1:\n",
            "      Successfully uninstalled typing_extensions-4.7.1\n",
            "  Attempting uninstall: typing-inspect\n",
            "    Found existing installation: typing-inspect 0.9.0\n",
            "    Uninstalling typing-inspect-0.9.0:\n",
            "      Successfully uninstalled typing-inspect-0.9.0\n",
            "Successfully installed typing-inspect-0.8.0 typing_extensions-4.5.0\n",
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            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting clickhouse-connect>=0.5.7 (from chromadb==0.3.26)\n",
            "  Downloading clickhouse_connect-0.6.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (966 kB)\n",
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            "  Attempting uninstall: requests\n",
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            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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            "\u001b[0mSuccessfully installed backoff-2.2.1 chromadb-0.3.26 clickhouse-connect-0.6.6 coloredlogs-15.0.1 fastapi-0.100.0 h11-0.14.0 hnswlib-0.7.0 httptools-0.6.0 humanfriendly-10.0 importlib-metadata-6.8.0 lz4-4.3.2 monotonic-1.6 onnxruntime-1.15.1 overrides-7.3.1 posthog-3.0.1 pulsar-client-3.2.0 python-dotenv-1.0.0 requests-2.31.0 starlette-0.27.0 uvicorn-0.22.0 uvloop-0.17.0 watchfiles-0.19.0 websockets-11.0.3 zstandard-0.21.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Document loader"
      ],
      "metadata": {
        "id": "mMBWfAeBHyo3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# import langchain dir loader from document loaders\n",
        "from langchain.document_loaders import DirectoryLoader\n",
        "\n",
        "directory = '/content/pets'\n",
        "\n",
        "def load_docs(directory):\n",
        "  loader = DirectoryLoader(directory)\n",
        "  documents = loader.load()\n",
        "  return documents\n",
        "\n",
        "documents = load_docs(directory)\n",
        "len(documents)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7YixDWlNHjJh",
        "outputId": "2c34fd13-9fc3-425b-e1ab-38348e483a00"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
            "[nltk_data]     /root/nltk_data...\n",
            "[nltk_data]   Unzipping taggers/averaged_perceptron_tagger.zip.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# use text splitter to split text in chunks\n",
        "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
        "\n",
        "def split_docs(documents,chunk_size=1000,chunk_overlap=20):\n",
        "  text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)\n",
        "  docs = text_splitter.split_documents(documents)\n",
        "  return docs\n",
        "\n",
        "docs = split_docs(documents)\n",
        "print(len(docs))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WA5iiQiN23tw",
        "outputId": "e31e85de-820f-4289-e456-985c9de5258d"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Embedding Text Using Langchain"
      ],
      "metadata": {
        "id": "jJSabTWi2k9x"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# embeddings using langchain\n",
        "from langchain.embeddings import SentenceTransformerEmbeddings\n",
        "embeddings = SentenceTransformerEmbeddings(model_name=\"all-MiniLM-L6-v2\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465,
          "referenced_widgets": [
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Vector store using langchain\n"
      ],
      "metadata": {
        "id": "dVF32qkK4R65"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# using chromadb as a vectorstore and storing the docs in it\n",
        "from langchain.vectorstores import Chroma\n",
        "db = Chroma.from_documents(docs, embeddings)"
      ],
      "metadata": {
        "id": "5PZXR3pl4D3q"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Query the DB"
      ],
      "metadata": {
        "id": "HZvC1UNQ4w4A"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Doing similarity search  using query\n",
        "query = \"What are the different kinds of pets people commonly own?\"\n",
        "matching_docs = db.similarity_search(query)\n",
        "\n",
        "matching_docs[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ho6Ijm5z4p3h",
        "outputId": "348aaaa2-ea91-4f99-93ea-3e865a5c7463"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Document(page_content='Pet animals come in all shapes and sizes, each suited to different lifestyles and home environments. Dogs and cats are the most common, known for their companionship and unique personalities. Small mammals like hamsters, guinea pigs, and rabbits are often chosen for their low maintenance needs. Birds offer beauty and song, and reptiles like turtles and lizards can make intriguing pets. Even fish, with their calming presence, can be wonderful pets.', metadata={'source': '/content/pets/Different Types of Pet Animals.txt'})"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Persist in ChromaDB"
      ],
      "metadata": {
        "id": "lyONM1lL5YF4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# create a persist dir to store the docs\n",
        "persist_directory = \"chroma_db\"\n",
        "\n",
        "vectordb = Chroma.from_documents(\n",
        "    documents=docs, embedding=embeddings, persist_directory=persist_directory\n",
        ")\n",
        "\n",
        "vectordb.persist()"
      ],
      "metadata": {
        "id": "GKOUE74-5LDS"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_db = Chroma(persist_directory=persist_directory, embedding_function=embeddings)"
      ],
      "metadata": {
        "id": "K7I9Ib1x5vEq"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "matching_docs = new_db.similarity_search_with_score(query)\n",
        "matching_docs"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EARhxuhX6JK8",
        "outputId": "c80544b7-814d-49a4-acac-76e24adf408b"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(Document(page_content='Pet animals come in all shapes and sizes, each suited to different lifestyles and home environments. Dogs and cats are the most common, known for their companionship and unique personalities. Small mammals like hamsters, guinea pigs, and rabbits are often chosen for their low maintenance needs. Birds offer beauty and song, and reptiles like turtles and lizards can make intriguing pets. Even fish, with their calming presence, can be wonderful pets.', metadata={'source': '/content/pets/Different Types of Pet Animals.txt'}),\n",
              "  0.7325009703636169),\n",
              " (Document(page_content='Pets offer more than just companionship; they provide emotional support, reduce stress, and can even help their owners lead healthier lives. The bond between pets and their owners is strong, and many people consider their pets as part of the family. This bond can be especially important in times of personal or societal stress, providing comfort and consistency.', metadata={'source': '/content/pets/The Emotional Bond Between Humans and Pets.txt'}),\n",
              "  1.039680004119873),\n",
              " (Document(page_content='Proper nutrition is vital for the health and wellbeing of pets. Dogs and cats require a balanced diet that includes proteins, carbohydrates, and fats. Some may even have specific dietary needs based on their breed or age. Birds typically thrive on a diet of seeds, fruits, and vegetables, while reptiles have diverse diets ranging from live insects to fresh produce. Fish diets depend greatly on the species, with some needing live food and others subsisting on flakes or pellets.', metadata={'source': '/content/pets/Nutrition Needs of Pet Animals.txt'}),\n",
              "  1.1948440074920654),\n",
              " (Document(page_content='Routine health care is crucial for pets to live long, happy lives. Regular vet check-ups help catch potential issues early and keep vaccinations up to date. Dental care is also essential to prevent diseases in pets, especially in dogs and cats. Regular grooming, parasite control, and weight management are other important aspects of pet health care.', metadata={'source': '/content/pets/Health Care for Pets.txt'}),\n",
              "  1.2176992893218994)]"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Using OpenAI LLM with ChromaDB"
      ],
      "metadata": {
        "id": "u8jYn3Sb7Ovb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "os.environ[\"OPENAI_API_KEY\"] = \"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\""
      ],
      "metadata": {
        "id": "u_cjf4QI6g8A"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# load the LLM model\n",
        "from langchain.chat_models import ChatOpenAI\n",
        "model_name = \"gpt-3.5-turbo\"\n",
        "llm = ChatOpenAI(model_name=model_name)"
      ],
      "metadata": {
        "id": "7rxDPmWf8pHa"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Langchain chains"
      ],
      "metadata": {
        "id": "aE_Vg_E89CZP"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Using query and context to get the answer"
      ],
      "metadata": {
        "id": "CavyoiYp_qWP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Using q&a chain to get the answer for our query\n",
        "from langchain.chains.question_answering import load_qa_chain\n",
        "chain = load_qa_chain(llm, chain_type=\"stuff\",verbose=True)\n",
        "\n",
        "query = \"What are the emotional benefits of owning a pet?\"\n",
        "matching_docs = db.similarity_search(query)\n",
        "answer =  chain.run(input_documents=matching_docs, question=query)\n",
        "answer"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 541
        },
        "id": "qV1iH9zM8tWf",
        "outputId": "e79835ef-c8f5-4be4-f365-250514237926"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\u001b[1m> Entering new  chain...\u001b[0m\n",
            "\n",
            "\n",
            "\u001b[1m> Entering new  chain...\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mSystem: Use the following pieces of context to answer the users question. \n",
            "If you don't know the answer, just say that you don't know, don't try to make up an answer.\n",
            "----------------\n",
            "Pets offer more than just companionship; they provide emotional support, reduce stress, and can even help their owners lead healthier lives. The bond between pets and their owners is strong, and many people consider their pets as part of the family. This bond can be especially important in times of personal or societal stress, providing comfort and consistency.\n",
            "\n",
            "Pet animals come in all shapes and sizes, each suited to different lifestyles and home environments. Dogs and cats are the most common, known for their companionship and unique personalities. Small mammals like hamsters, guinea pigs, and rabbits are often chosen for their low maintenance needs. Birds offer beauty and song, and reptiles like turtles and lizards can make intriguing pets. Even fish, with their calming presence, can be wonderful pets.\n",
            "\n",
            "Training is essential for a harmonious life with pets, particularly for dogs. It helps pets understand their boundaries and makes cohabitation easier for both pets and owners. Training should be based on positive reinforcement. Understanding pet behavior is also important, as changes in behavior can often be a sign of underlying health issues.\n",
            "\n",
            "Routine health care is crucial for pets to live long, happy lives. Regular vet check-ups help catch potential issues early and keep vaccinations up to date. Dental care is also essential to prevent diseases in pets, especially in dogs and cats. Regular grooming, parasite control, and weight management are other important aspects of pet health care.\n",
            "Human: What are the emotional benefits of owning a pet?\u001b[0m\n",
            "\n",
            "\u001b[1m> Finished chain.\u001b[0m\n",
            "\n",
            "\u001b[1m> Finished chain.\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Owning a pet can provide numerous emotional benefits. Pets offer companionship and can help reduce feelings of loneliness and isolation. They provide unconditional love and support, which can boost mood and overall well-being. Interacting with pets, such as petting or playing with them, has been shown to decrease levels of stress hormones and increase the release of oxytocin, a hormone associated with bonding and relaxation. Pets also offer a sense of purpose and responsibility, as taking care of them can give a sense of fulfillment and provide a distraction from daily stressors. Additionally, the bond between pets and their owners can provide a sense of stability and consistency during times of personal or societal stress.'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### RetrievalQA"
      ],
      "metadata": {
        "id": "fZQafGJH_LvC"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Used only query to search the db and getting an answer"
      ],
      "metadata": {
        "id": "UluhwVEn_vVQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain.chains import RetrievalQA\n",
        "retrieval_chain = RetrievalQA.from_chain_type(llm, chain_type=\"stuff\", retriever=db.as_retriever())\n",
        "retrieval_chain.run(query)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "id": "myLSSiIz963m",
        "outputId": "d3376f83-9d2f-4556-b190-29d5e2a7e41f"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"Owning a pet can offer several emotional benefits. Pets provide companionship and can be a source of comfort and support during times of stress or loneliness. They can help reduce feelings of anxiety and depression and provide a sense of purpose and responsibility. Pets also offer unconditional love and affection, which can improve overall mood and emotional well-being. Additionally, caring for a pet can provide a sense of routine and structure, promoting a sense of stability and consistency in one's life.\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    }
  ]
}