Repository History
20 repositories tagged with RAG
AI Engineering Toolkit: 100+ Libraries for LLM Development
The AI Engineering Toolkit is a comprehensive, curated list featuring over 100 libraries and frameworks essential for AI engineers. It provides battle-tested tools, frameworks, and reference implementations to develop, deploy, and optimize applications built with Large Language Models. This resource aims to help engineers build better LLM apps faster, smarter, and production-ready.
turboseek: An Open-Source AI Search Engine Inspired by Perplexity
turboseek is an innovative open-source AI search engine developed by Nutlope, drawing inspiration from platforms like Perplexity. Built with TypeScript, it leverages advanced LLMs and search APIs to provide comprehensive answers and related follow-up questions. This project offers a robust foundation for anyone interested in building their own AI-powered search solution.
Memori: SQL Native Memory Layer for LLMs and AI Agents
Memori is an SQL Native Memory Layer designed for LLMs, AI Agents, and Multi-Agent Systems. It provides a robust and flexible solution for managing long-short term memory, integrating seamlessly with existing software and infrastructure. This project aims to enhance AI systems with persistent, structured memory capabilities, making them more intelligent and context-aware.
Local Deep Research: AI-Powered, Privacy-Focused Research Assistant for Academia
Local Deep Research is an AI-powered assistant designed for deep, iterative research, achieving high accuracy on benchmarks. It supports both local and cloud LLMs, searches over 10 sources including academic papers and private documents, and ensures privacy with local, encrypted operations. This tool is ideal for researchers, students, and professionals seeking accurate, transparent, and secure information retrieval.
Airweave: Context Retrieval for AI Agents Across Apps and Databases
Airweave is an open-source context retrieval layer designed for AI agents, enabling them to access information across various applications and databases. It transforms diverse content into searchable knowledge bases, offering a standardized interface for agents to perform semantic, hybrid, and recency-biased searches. The platform simplifies data synchronization, entity extraction, and serves as a robust foundation for building intelligent AI applications.
Agent-S: Open Agentic Framework for Human-like Computer Use
Agent-S is an open agentic framework designed to enable autonomous interaction with computers, allowing AI agents to use machines like humans. It provides intelligent GUI agents that learn from past experiences to perform complex tasks. This framework is a cutting-edge solution for AI automation and advanced agent-based systems.
GenerativeAICourse: A Comprehensive Hands-On Generative AI Engineering Course
This repository offers a comprehensive, hands-on Generative AI course, starting from fundamental AI concepts to building production-grade applications. It focuses on AI engineering, covering topics like LLMs, RAG, AI agents, and prompt engineering with practical tutorials. The course aims to equip learners with the skills needed to build real-world AI solutions.
KAG: Knowledge Augmented Generation for LLM Reasoning in Professional Domains
KAG is a powerful logical form-guided reasoning and retrieval framework built upon the OpenSPG engine and Large Language Models. It is specifically designed to create robust logical reasoning and factual Q&A solutions for specialized domain knowledge bases. This framework effectively overcomes the limitations of traditional RAG vector similarity calculation models and the noise often introduced by GraphRAG approaches.