- F1: Give the LLM external tool access
- F2: Customize the LLM with local data
- F3: Implement chat based memory - #4
- following
- "Augumenting Your LLM using Retrieval Augumented Generation" https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-16+V1
- https://python.langchain.com/v0.2/docs/tutorials/
- https://python.langchain.com/v0.2/docs/tutorials/rag/
- https://python.langchain.com/v0.2/docs/tutorials/local_rag/
- ObrienlabsDev/blog#47
- 2020 papar on RAG from Patrick Lewis - https://arxiv.org/pdf/2005.11401
- google search "rag ai wikipedia"
- https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/
- https://en.wikipedia.org/wiki/Retrieval-augmented_generation
- https://towardsdatascience.com/what-nobody-tells-you-about-rags-b35f017e1570
- https://alexgarcia.xyz/blog/2024/sqlite-vec-stable-release/index.html