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.

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.

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

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.

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🚀

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

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

It shows how to realize agentic RAG.

This repository provides the building blocks for integrating LangChain, LangGraph, and the Tilores entity resolution system.

It shows how to use langgraph-builder.

Orchestrator Kit for Agentic Reasoning - OrKa is a modular AI orchestration system that transforms Large Language Models (LLMs) into composable agents capable of reasoning, fact-checking, and constructing answers with transparent traceability.