RAGDebugger – observability – retrieval-augmented generation pipeline
Relevance scores and hallucination detection when LangSmith already exists.
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.
Modular RAG with MCP integration, but Langchain and LlamaIndex already dominate.
Python developers building RAG applications
LangChain · LlamaIndex · Vercel AI SDK
Relevance scores and hallucination detection when LangSmith already exists.
RAG library with serve command, but Langchain, LlamaIndex, and Verba already dominate.
Waitlist for RAG platform launching in 2 months with no demo.
ESLint for RAG pipelines that avoids using AI to debug AI hallucinations.
Another RAG platform waitlist when LangChain already exists.
LLM-as-judge metrics beat guessing chunk sizes, but Ragas and LangSmith already exist.