GitHub / mbocquel / RAG_Enedis
Experiment with RAG using Langchain, LangGraph, OpenAI, HuggingFace and Mistral to create a RAG that is able to analyse PDF from the Enedis documentation website, and answer question about it. Ongoing project
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbocquel%2FRAG_Enedis
PURL: pkg:github/mbocquel/RAG_Enedis
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 18.6 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: huggingface, langchain, langgraph, llm, mistral-api, openai-api, streamlit