Biblos: Semantic Bible Search with LLM

Biblos is a Retrieval Augmented Generation (RAG) application that leverages vector search and a Large Language Model (LLM) to provide semantic search and summarization of Bible passages. It uses Chroma for vector search with BAAI BGE embeddings and Anthropic's Claude LLM for summarization. The application is built with Python and a Streamlit Web UI, deployed on render.com. The focus is on semantic understanding of the Bible, allowing users to search by topic or keywords and receive summarized results.

• •Semantic search of Bible passages using vector embeddings.
• •Summarization of search results using Claude LLM.
• •Built with Python and Streamlit, deployed on render.com.
• •Uses a Retrieval Augmented Generation (RAG) architecture.