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
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
Nexent 是一个可以零代码开发智能体的平台 —— 无需编排，无需复杂拖拉拽。基于 MCP 工具生态，Nexent 还提供强大的模型集成、数据处理、知识库管理能力。
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.
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.
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.
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
Developing powerful AI assistants and agents using Genesis and Agentic-RAG.
Repositorio-Tutorial para desarrollo de chatbots, aplicaciones con LLMs y Agentes IA
This repository contains end-to-end sample projects designed to run with minimal effort across a variety of use cases, including data science, machine learning, deep learning, and generative AI methods. All sample projects are developed using Z by HP AI Studio with ❤️
definable.ai - A simpler way of interacting with Agents and Tools ⭐ 💖
Agentic RAG to help you build a startup🚀
RAGLight is a lightweight and modular Python library for implementing Retrieval-Augmented Generation (RAG), Agentic RAG and RAT (Retrieval augmented thinking)..
Agents and RAG workflows with little to no code
Interactive LLM Chatbot that constructs direct and transitive software dependencies as a knowledge graph and answers user's questions leveraging RAG and critic-agent approach
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