An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
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Updated
Sep 30, 2025 - Python
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 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.
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.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
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.
Chat2Graph: Graph Native Agentic System.
Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
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.
🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr
This repository contains resources and materials for the "AI Agents and Retrieval Augmented Generation (RAG) for Cybersecurity Operations" and other courses by Omar Santos.
A python library for creating AI assistants with Vectara, using Agentic RAG
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.
Repositorio-Tutorial para desarrollo de chatbots, aplicaciones con LLMs y Agentes IA
VibeGit version-controls before your commit. A Git-powered memory layer for AI coding agents, automatically versioning prompts, context, and code changes without polluting your .git. By https://memov.ai/
Agentic RAG to help you build a startup🚀
Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.
Welcome! 😊 This is the official code release of EviNote-RAG, and we’re happy to share it with the community.
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