notion chat langchain

A ChatBot for Your Notion Knowledge Base

Create a simple chatbot for question-answering your Notion knowledge base/docs using Openai, Typescript, LangChain and Pinecone.

Tutorial video

Example Data

This repo uses a Notion template of the support docs from cron - a next-generation calendar for professionals and teams

Development

1. Clone the repo
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=

• Visit openai and pinecone to retrieve API keys and insert into your .env file.

4. In the config folder, go into pinecone-index.ts and replace PINECONE_INDEX_NAME with the index name in your pinecone dashboard.

? Instructions for ingesting your own dataset

Export your dataset from Notion. You can do this by clicking on the three dots in the upper right hand corner and then clicking Export.

Follow these Notion instructions: Exporting your content

When exporting, make sure to select the Markdown & CSV format option.

Select Everything, include subpages and Create folders for subpages. Then click Export

This will produce a .zip file in your Downloads folder. Move the .zip file into the root of this repository.

Either unzip the folder using 7-Zip (or WinZip) or run the following Unix/Linux command to unzip the zip file (replace the Export... with your own file name).

unzip Export-d3adfe0f-3131-4bf3-8987-a52017fc1bae.zip -d Notion_DB

You should see a Notion_DB folder in your root folder that contains markdown files and folders of your knowledge base.

Ingest data

Now we need to ingest your docs. In very simple terms, ingesting is the process of converting your docs into numbers (embedding) that can be easily stored and analyzed for similarity searches.

npm run ingest

Running the app

Run your local dev environment npm run dev.

Use the search bar to ask a question about your docs.

Simple.

Deployment

You can deploy this app to the cloud with Vercel (Documentation).

Credit

This repo is inspired by notion-qa