Shypd.aiThe largest open index of AI toolsRAGLight is a modular Python library for Retrieval-Augmented Generation (RAG) that enhances LLMs by combining document retrieval with natural language inference. It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration.
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RAGLight is a lightweight and modular Python library designed for implementing Retrieval-Augmented Generation (RAG). It significantly enhances the capabilities of Large Language Models (LLMs) by integrating document retrieval with natural language inference. The framework offers modular components, allowing users to easily integrate various LLMs, embeddings, and vector stores to build context-aware AI solutions. A key differentiator is its seamless MCP integration, enabling connection to external tools and data sources. RAGLight supports a wide range of LLM providers including Ollama, Google Gemini, LMStudio, vLLM, OpenAI API, Mistral API, and AWS Bedrock. It also features hybrid search (BM25 + Semantic + RRF), query reformulation, streaming output, and full conversation history support, making it a flexible and powerful tool for developers.
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