11 Lessons to Get Started Building AI Agents

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

Everything you need to know to build your own RAG application

Nexent is a zero-code platform for auto-generating agents — no orchestration, no complex drag-and-drop required. Nexent also offers powerful capabilities for agent running control, data processing and MCP tools.

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construction and search. Combine DeepSearch for private RAG reasoning. Create a custom evaluation framework for GraphRAG.

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

YT Navigator: AI-powered YouTube content explorer that lets you search and chat with channel videos using AI agents. Extract insights from hours of content in seconds with semantic search and precise timestamps.

[Up-to-date] Awesome Agentic Deep Research Resources

Chat2Graph: Graph Native Agentic System.

RAGLight is a lightweight and modular Python library for implementing Retrieval-Augmented Generation (RAG), Agentic RAG and RAT (Retrieval augmented thinking)..

[Up-to-date] Awesome RAG Reasoning Resources

Connect to your customer data using any LLM and gain actionable insights. IdentityRAG creates a single comprehensive customer 360 view (golden record) by unifying, consolidating, disambiguating and deduplicating data across multiple sources through identity resolution.

📁 This repository contains end-to-end AI blueprint projects designed to run effortlessly across a wide range of use cases; including data science, machine learning, deep learning, and generative AI. 🛠️ All projects are built using HP AI Studio with ❤️ If you find this useful, please don’t forget to star the repository ⭐ and support our work 🚀

Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

A clean and extensible agentic RAG system with modular implementation.

A python library for creating AI assistants with Vectara, using Agentic RAG

🔥🔥🔥 Simple way to create composable AI agents

This repository contains resources and materials for the "AI Agents and Retrieval Augmented Generation (RAG) for Cybersecurity Operations" and other courses by Omar Santos.