agentic-rag-for-dummies and context-aware-rag
These are complements: the educational framework for building agentic RAG systems (A) could leverage the knowledge graph ingestion and retrieval capabilities (B) as a concrete implementation pattern for the retrieval component.
About agentic-rag-for-dummies
GiovanniPasq/agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
This project helps developers build advanced AI assistants that can intelligently answer questions using custom data. It takes your documents (like PDFs or Markdown files) and processes them into a searchable format, then uses an AI to interpret user questions, find relevant information, and generate clear, coherent answers. It's designed for AI developers or data scientists who want to create sophisticated conversational agents.
About context-aware-rag
NVIDIA/context-aware-rag
Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.
This library helps developers enhance their AI applications by creating sophisticated RAG (Retrieval Augmented Generation) pipelines. It takes various data sources, extracts structured knowledge, and outputs relevant information for natural language queries. Developers, AI engineers, and data scientists use it to build context-aware AI agents or Q&A systems.
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