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 developing intelligent agents — no orchestration, no complex drag-and-drop required. Built on the MCP tool ecosystem, Nexent also offers powerful capabilities for model integration, data processing, and knowledge base management.
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
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.
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.
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
📁 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 🚀
Developing powerful AI assistants and agents using Genesis and Agentic-RAG.
Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
[Up-to-date] Awesome Agentic Deep Research Resources
Repositorio-Tutorial para desarrollo de chatbots, aplicaciones con LLMs y Agentes IA
This repository contains resources and materials for the "AI Agents and Retrieval Augmented Generation (RAG) for Cybersecurity Operations" and other courses by Omar Santos.
definable.ai - A simpler way of interacting with Agents and Tools ⭐ 💖
Agentic RAG to help you build a startup🚀
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