agentic-rag-for-dummies and ragapp
The "agentic-rag-for-dummies" project, designed for learning modular Agentic RAG with LangGraph, serves as an educational and foundational complement to "ragapp," which aims to provide an easy-to-use, enterprise-ready application of Agentic RAG for practical deployment.
About agentic-rag-for-dummies
GiovanniPasq/agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Built on LangGraph's agentic framework, this system implements hierarchical parent-child chunk indexing for precision search paired with context-rich retrieval, conversation memory across turns, and human-in-the-loop query clarification. Multi-agent map-reduce parallelizes sub-query resolution with self-correction and context compression, while supporting pluggable LLM providers (Ollama, OpenAI, Anthropic, Google) and Qdrant vector storage—all orchestrated through observable graph execution with Langfuse integration.
About ragapp
ragapp/ragapp
The easiest way to use Agentic RAG in any enterprise
This project helps operations or IT teams quickly build and deploy internal chat applications that can answer questions using your company's private documents and data. It takes your enterprise knowledge base as input and produces a ready-to-use chat interface for your employees. This is for IT managers, operations engineers, or solution architects responsible for internal tool development and knowledge management.
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