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GPT & LangChain - Create a ChatGPT Chatbot for Your PDF Files

Use the new GPT-4 api to build a chatGPT chatbot for multiple Large PDF files.

Tech stack used includes LangChain, Chroma, Typescript, Openai, and Next.js. LangChain is a framework that makes it easier to build scalable AI/LLM apps and chatbots. Chroma is a vectorstore for storing embeddings and your PDF in text to later retrieve similar docs.

Development

  1. Install packages

First run npm install yarn -g to install yarn globally (if you haven't already).

Then run:

yarn install

After installation, you should now see a node_modules folder.

  1. Set up your .env file
  • Copy .env.example into .env Your .env file should look like this:
NODE_ENV="development"
OPENAI_API_KEY=""
OPENAI_MODEL_NAME="text-davinci-003"

CHROMA_API="http://localhost:8000"

CHROMA_COLLECTION="test"

# for chroma in cloud
CHROMA_USERNAME=
CHROMA_PASSWORD=
  1. Set up ChromaDB
git clone [email protected]:chroma-core/chroma.git
cd chroma
docker-compose up -d --build

get-started-with-chroma

  1. In utils/makechain.ts chain change the QA_PROMPT for your own usecase. Change modelName in new OpenAI to gpt-4, if you have access to gpt-4 api. Please verify outside this repo that you have access to gpt-4 api, otherwise the application will not work.

Convert your PDF files to embeddings

This repo can load multiple PDF files

  1. Inside docs folder, add your pdf files or folders that contain pdf files.

  2. Run the script npm run ingest to 'ingest' and embed your docs.

Run the app

Once you've verified that the embeddings and content have been successfully added to your Pinecone, you can run the app npm run dev to launch the local dev environment, and then type a question in the chat interface.

General errors

  • Make sure you're running the latest Node version. Run node -v
  • Try a different PDF or convert your PDF to text first. It's possible your PDF is corrupted, scanned, or requires OCR to convert to text.
  • Console.log the env variables and make sure they are exposed.
  • Make sure you're using the same versions of LangChain and Chroma as this repo.
  • Check that you've created an .env file that contains your valid (and working) API keys, environment and index name.
  • If you change modelName in OpenAI, make sure you have access to the api for the appropriate model.
  • Make sure you have enough OpenAI credits and a valid card on your billings account.
  • Check that you don't have multiple OPENAPI keys in your global environment. If you do, the local env file from the project will be overwritten by systems env variable.
  • Try to hard code your API keys into the process.env variables if there are still issues.