watat83/document-chat-system

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

An open-source RAG-based tool for chatting with your documents.

RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning

Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

Open-source API for a self-hostable, evidence-first document knowledge workspace with hybrid search, grounded answers, citations, and agent-assisted deep reading.

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate