This app enables AI-powered search for Andrew Huberman.
This is also a testbed for exploring Langchain functionality and building a production-ready app.
This app currently has the following features:
- GPT-3.5 based QA search over Huberman's content
- Giving source transcripts for the answers
- Login authentication with NextAuth
- Database support with Pinecone for embedding and MySql for queries / user login
Future features that I would like to include:
- User profiles for better prompts and customized results
- Allow multiple modes of search (highlevel, detailed, proscons, etc.)
- Show most popular questions and answers per week
- Allow users to add questions to Huberman
- Cleaner settings:
- Authentication
- Profile
- Search parameters
- Action Buttons
- Cron job to give updates on app activity
- Cache for Db queries
- GPT 3.5 API - OpenAI API
- Vector Database - Pinecone
- Payment Gateway - Stripe
- MySQL Database - PlanetScale
- Web Server - Vercel
- Helpful Partner - ChatGPT
Get all videos from
Trascribe all episodes with Whisper.
Transcribed data is split / embedded (Pinecone) with Langchain.
All steps outlined in: scripts/get_data_huberman.ipynb
TODO: add script to automate this process.
Use Langchain VectorDBQAChain to:
- Embed the user query
- Perform similarity search on Pinecone embeddings
- Synthesize the answer from relevant chunks with
GPT 3.5
Relevant chunks with metadata (links) are displayed as source documents.
This builds on the excellent UI from https://github.com/mckaywrigley/wait-but-why-gpt.
Note: the app that supports streaming is deployed to vercel.app: https://huber-gpt.vercel.app/
Thanks to Mckay Wrigley for open-sourcing his UI.
Thanks to Andrew Huberman for the excellent podcast.