Experiment project with LLM RAG using llama3 and langchain
⚠️ This project not supported upload file from UI yet, in order to load PDF, place PDF documents into directory rag/tmp/docs
and load from UI
What is RAG?
- Retrieval-Augmented Generation (RAG)
- Enhance the accuracy and reliability of GenAI models with data from external sources
Why RAG ?
- LLM (ChatGPT, Gemini...) does not know your data
- LLM might not know or give out-of-date answer about knowledege beyond the cut-off point
- LLM does not know about specific knowledge (eg: your company data for customer support, your bespoke software user manual...)
- RAG solves above problems
How RAG works ?
Roadmap
Screenshots
Reference
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