LibreChat-AI/rag-api

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

🧠 100% Local Memory layer and Knowledge base for agents with WebUI

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

Colivara is a suite of services that allows you to store, search, and retrieve documents based on their visual embedding. ColiVara has state of the art retrieval performance on both text and visual documents. using vision models instead of chunking and text-processing for documents. No OCR, no text extraction, no broken tables, or missing images.