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mrutunjay-kinagi / ragsearch

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ragsearch is a Python library designed for building a Retrieval-Augmented Generation (RAG) application that enables natural language querying over both structured and unstructured data. This tool leverages embedding models and a vector database (FAISS or ChromaDB) to provide an efficient and scalable search engine.

opensource ai generator retrieval augument rag vector-database llms generative-ai genai retrieval-augmented-generation ragsearch open-table-format
  • Updated Apr 23, 2026
  • Python

Naveen-Ravichandran003 / langflow-rag-pipelines

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Explore the evolution of Retrieval-Augmented Generation (RAG) through three progressively sophisticated pipelines built with Langflow: Naive RAG (basic retrieval), Advanced RAG (semantic chunking + re-ranking + hallucination control), and Modular RAG (multi-store routing with LLM-powered query classification).

re-ranking generation embedding-models augument retrival langflow hallucination-detection rag-pipeline advanced-rag modular-rag naive-rag sementic-chunking
  • Updated May 9, 2026

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