Fork of ChatGPT Chatbot for read web pages

Use the new GPT-4 api to build a chatGPT chatbot for parse articles or pdf files.

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

The visual guide of this repo and tutorial is in the visual guide folder.

If you run into errors, please review the troubleshooting section further down this page.

Development

1. Clone the repo

git clone [github https url]

2. Install packages

pnpm install

3. Set up your .env file

• Copy .env.example into .env Your .env file should look like this:

OPENAI_API_KEY=

PINECONE_API_KEY=
PINECONE_ENVIRONMENT=

PINECONE_INDEX_NAME=

• Visit openai to retrieve API keys and insert into your .env file.
• Visit pinecone to create and retrieve your API keys, and also retrieve your environment and index name from the dashboard.

4. In the config folder, replace the PINECONE_NAME_SPACE with a namespace where you'd like to store your embeddings on Pinecone when you run pnpm run ingest. This namespace will later be used for queries and retrieval.

Run the app

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

Troubleshooting

In general, keep an eye out in the issues and discussions section of this repo for solutions.

General errors

• Make sure you're running the latest Node version. Run node -v
• Make sure you're using the same versions of LangChain and Pinecone 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 OpenAIChat note that the correct name of the alternative model is gpt-3.5-turbo
• Make sure you have access to gpt-4 if you decide to use. Test your openAI keys outside the repo and make sure it works and that you have enough API credits.
• Your pdf file is corrupted and cannot be parsed.

Pinecone errors

• Make sure your pinecone dashboard environment and index matches the one in the pinecone.ts and .env files.
• Check that you've set the vector dimensions to 1536.
• Make sure your pinecone namespace is in lowercase.
• Pinecone indexes of users on the Starter(free) plan are deleted after 7 days of inactivity. To prevent this, send an API request to Pinecone to reset the counter.
• Retry from scratch with a new Pinecone index and cloned repo.

Credit

Frontend of this repo is inspired by chat-gpt-extension