RAGLight

About.

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources. Fossfits includes RAGLight as an actively maintained vector db option: its public repository was updated on 2026-09-02, uses the MIT license, and had 672 stars when reviewed. Check its documentation and release notes before production adoption.

agentic ai · agentic rag · agentic workflow · artificial intelligence · data science

• TtxtaiAll-in-one Python framework for embeddings, vector search, and RAG workflows.Compare
• QQdrantRust vector database with filters, payloads, and a REST API.Compare
• WWeaviateVector database with hybrid search and modular vectorizers.Compare
• MMilvusCloud-native vector database built for large-scale ANN search.Compare
• CChromaDeveloper-friendly embedding database for local RAG prototypes.Compare