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https://github.com/mayooear/gpt4-pdf-chatbot-langchain

GPT4 & LangChain Chatbot for large PDF docs
https://github.com/mayooear/gpt4-pdf-chatbot-langchain

gpt4 langchain nextjs openai pdf typescript

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GPT4 & LangChain Chatbot for large PDF docs

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README 

        
# GPT-4 & 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, 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.



[Tutorial video](https://www.youtube.com/watch?v=ih9PBGVVOO4)



[Join the discord if you have questions](https://discord.gg/E4Mc77qwjm)



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.**



Prelude: Please make sure you have already downloaded node on your system and the version is 18 or greater.



## Development



1. Clone the repo or download the ZIP



```

git clone [github https url]

```



2. 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.



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](https://help.openai.com/en/articles/4936850-where-do-i-find-my-secret-api-key) to retrieve API keys and insert into your `.env` file.

- Visit [pinecone](https://pinecone.io/) 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 `npm run ingest`. This namespace will later be used for queries and retrieval.



5. 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 `yarn run ingest` to 'ingest' and embed your docs. If you run into errors troubleshoot below.



3. Check Pinecone dashboard to verify your namespace and vectors have been added.



## 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.



## 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`

- 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 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 `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.



**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 before 7 days.

- Retry from scratch with a new Pinecone project, index, and cloned repo.



## Credit



Frontend of this repo is inspired by [langchain-chat-nextjs](https://github.com/zahidkhawaja/langchain-chat-nextjs)