Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
$ git clone https://github.com/asinghcsu/AgenticRAG-Survey.gitNexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
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RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
The .NET library to build AI agents with 30+ built-in connectors.
Data from GitHub · snapshot Nov 13, 2026