Showing 101-120 of 127 projects
An open-source project exploring advanced Retrieval-Augmented Generation systems with AI LLM agents.
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query, built with Rust and supporting multiple languages.
A curated list of advanced retrieval augmented generation (RAG) in Large Language Models.
An AI-powered video agent framework for next-generation video interactions and workflows.
LLM framework for synthesizing scientific literature via retrieval-augmented generation with academic paper indexing.
A Python-based tool to collect, organize, use, and share AI-powered notes and knowledge in an OmniBox interface.
Archive, search, and analyze your entire email/chat history offline with DuckDB-powered analytics and AI queries.
Comprehensive guide to learn Retrieval Augmented Generation (RAG) from basics to advanced.
Memory plugin for OpenClaw agents with hybrid vector+BM25 retrieval, cross-encoder reranking, and multi-scope isolation.
TrustRAG is a Python framework for building reliable and trusted Retrieval Augmented Generation (RAG) models.
A tutorial to build a RAG (Retrieval Augmented Generation) system from scratch using local LLMs and no black boxes.
Memory operating system for personalized AI agents with long-term memory and retrieval capabilities
An open-source tool to visualize your RAG (Retrieval Augmented Generation) models and workflows.
A curated list of AI-powered web search tools and resources for developers and researchers.
A Python library that provides a super easy local implementation of the RAG (Retrieval-Augmented Generation) model with Ollama and email capabilities.
RAG Search API is a Python library that provides a search engine API powered by Retrieval Augmented Generation (RAG) models.
A project-based course on developing AI agents using LangChain v1+ and LangGraph for search, RAG, reflection, and code interpreters.
A Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL, useful for AI coding tools.
A SQL-driven RAG engine that automatically builds a knowledge graph during querying, enabling knowledge-enhanced applications.
An intelligent audit decision system powered by large language models and advanced AI technologies like knowledge graphs and reinforcement learning.
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