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pdf-chat-ai-sdk

(★ 166)

An AI powered Next.js app to chat with your PDF files and get a streamed response using Vercel's AI SDK, Langchain and PineconeDB ✨🤖💻🗃️

File Explorer

Download Latest Version (.zip)

- german-basic-law.pdf
- next.svg
- vercel.svg
- - favicon.ico
  - globals.css
  - layout.tsx
  - page.tsx
- - chat-line.tsx
  - chat.tsx
  - dark-mode-toggle.tsx
  - theme-provider.tsx
- - config.ts
  - langchain.ts
  - llm.ts
  - pdf-loader.ts
  - pinecone-client.ts
  - prompt-templates.ts
  - utils.ts
  - vector-store.ts
- - pinecone-prepare-docs.ts
- - index.ts
.env.example
.eslintrc.json
.gitignore
components.json
LICENSE
next.config.js
package-lock.json
package.json
postcss.config.cjs
README.md
tailwind.config.cjs
tsconfig.json

# Installation Guide

1. Get the code

git clone https://github.com/rajeshdavidbabu/pdf-chat-ai-sdk

Downloads the entire project code from GitHub to your computer.

cd pdf-chat-ai-sdk

Moves into the project folder you just downloaded.

2. Node.js

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Node.js Node.js must be installed to use npm. The LTS version is recommended.

npm install

Downloads and installs the libraries listed in package.json.

npm start

Starts the development/run server.

✅ After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.

// repository documentation

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# PDF-CHAT AI ✨🤖💻🗃️

An AI-powered PDF chat built with Next.js 13, Vercel's AI SDK, Langchain, and PineconeDB

## 👷🏾‍♂️ Want to Learn How to Build It?
Check out the tutorial on my YT [channel](https://www.youtube.com/watch?v=oiCFr19NtPo&t)

## Demo

https://github.com/rajeshdavidbabu/pdf-chat-ai-sdk/assets/15684795/0b2a1c85-c58d-43a0-b362-80bdf5a5d7ee

## Architecture

<img width="1402" alt="Embed LLM" src="https://github.com/rajeshdavidbabu/pdf-chat-ai-sdk/assets/15684795/b1252438-f5b3-4df3-aecc-245553006a60">

## 👩‍🚀 Description

Built with:
- ✅ Next.js 13
- ✅ Vercel's AI SDK
- ✅ Shadcn-ui
- ✅ Langchain TypeScript integration
- ✅ PineconeDB as the knowledge store
- ✅ Dark Mode with persistent theme-switching

## 🗃️ Pre-requisites
- Create a free account and get an OPEN_AI key from platform.openai.com
- Create a free account and get access to PineconeDB
- And populate your `.env` file with the required information.

## 💬 Good to know
- The PineconeDB index creation happens when we run `npm run prepare:data`, but its better to create it manually if you dont want the command to fail.
- If the command fails, then give sometime for pinecone index to get initialized and try to run the command again, it should work eventually.

## 🧞 Commands

All commands are run from the root of the project, from a terminal:

| Command               | Action                                          |
| :-------------------- | :-----------------------------------------------|
| `npm install`         | Installs dependencies                           |
| `npm run prepare:data`| Splits your PDF file under the /docs folder into chunks, embeds them, uploads them to Pinecone|
| `npm run dev`         | Starts the local dev server at `localhost:3000` |

## 🚸 Roadmap
- ✅ Add sources to the streamed chat bubble
- 🚧 Clean up and show proper error messages
- 🚧 Sanitize input and output source documents

## 👏🏽 Contributing

Pull requests are welcome, before creating a PR talk to me on [discord](https://discord.com/channels/1121796870231040020/1156553471881908275). For major changes, please open an issue first
to discuss what you would like to change.