Code for Experimenting with LLMs to Research, Reflect, and Plan. Disclaimer: The code is disorganized and hacky, and relies largely on LangChain's abstractions. May be useful as a reference, but not as learning material.
If you want to try this, update the .env file with your own keys. Most functionality, such as summarizing urls, sql queries on /data/books.db, and search should work right out of the box. For Q&A, you'll need to add your own custom indices.
- Summarized and ELI5 urls
- Run basic SQL via a chain or agent
- Run a search query via google custom search
- Q&A on custom indices (Note: You need to add your own indices)