Showing 21-40 of 46 projects
A powerful local research tool that leverages AI to search and retrieve information from multiple sources.
This repository provides everything needed to build a Retrieval Augmented Generation (RAG) application using the LangChain framework.
Langroid is a multi-agent framework for harnessing the power of large language models like GPT-4 and ChatGPT.
Collection of generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Secure, scalable AI-powered search and retrieval platform for enterprise knowledge across 100+ apps.
VideoRAG is a large-language-model-based system that enables chatting with long-form video content.
A minimal Agentic RAG (Retrieval-Augmented Generation) agent built with LangGraph, for developers to learn RAG quickly.
All-in-one platform for search, recommendations, RAG, and analytics offered via API for vibe coders
Open-source library for training and running inference with ColVision models for vision-language retrieval and generation.
A fractal graph-of-thought tool for AI agents, web links, notes, and code that enables rhizomatic mind-mapping and second brain workflows.
Comprehensive resources for developers working with Generative AI, including projects, use cases, and interview prep.
An open-source library that simplifies the use of Retrieval-Augmented Generation (RAG) with small language models.
The official implementation of RAPTOR, a framework for Recursive Abstractive Processing for Tree-Organized Retrieval.
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources.
Superlinked is a Python framework for building high-performance search & recommendation apps with structured and unstructured data.
A curated list of advanced retrieval augmented generation (RAG) in Large Language Models.
Comprehensive guide to learn Retrieval Augmented Generation (RAG) from basics to advanced.
An open-source runtime for building and managing intelligent agents across local, cloud, and edge environments.
TrustRAG is a Python framework for building reliable and trusted Retrieval Augmented Generation (RAG) models.
Memory operating system for personalized AI agents with long-term memory and retrieval capabilities
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