suryaswain612/LexRAG

A Retrieval-Augmented Generation (RAG) application for querying legal documents. It uses PostgreSQL, Elasticsearch, and LLM to provide summaries and suggestions based on user queries. Features data ingestion with Airflow, real-time monitoring with Grafana, and a Streamlit interface.

语言：Jupyter Notebook · GitHub 星标：17 · Fork：0

话题：hugging-face · llm · nlp · postgresql · python · rag

在 GitHub 上查看原仓库