An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
11 Lessons to Get Started Building AI Agents
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.
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.
The Knowledge Platform - expedite delivery of your knowledge to AI. Build, ship, and manage anywhere from local, cloud, on-prem, or edge.
Nexent 是一个开源智能体SDK和平台，能够将描述流程的自然语言转化为完整的多模态服务 —— 无需编排，无需复杂拖拉拽。基于 MCP 工具生态系统构建，Nexent 提供灵活的模型集成、可扩展的数据处理和强大的知识库管理。我们的目标很简单：将数据、模型和工具整合到一个智能中心中，让任何人都能轻松地将 Nexent 集成到项目中，使日常工作流程更智能、更互联。
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.
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.
A python library for creating AI assistants with Vectara, using Agentic RAG
A clean and extensible agentic RAG system with modular implementation.
🔥🔥🔥 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
definable.ai - A simpler way of interacting with Agents and Tools ⭐ 💖
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 ❤️
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
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