Repository History
28 repositories tagged with RAG
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.