RAG / 向量检索排行

Metronix Memory is self-hosted memory infrastructure for AI agents: MCP-native, local-model friendly, with hybrid RAG, a temporal knowledge graph and ontology layer, durable memory, freshness checks, and agent-scoped context

This application uses LLMs like DeepSeek, GPT-5, Claude, Gemini or Llama, Mixtral (locally) in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of LLMs and access to source documen

A RAG based Generative AI Attorney fed with Indian Penal Code data. Developed using Streamlit, LangChain and TogetherAI API.

FinchBot is an AI Agent framework that empowers agents with true autonomy, built on LangChain v1.2 and LangGraph v1.0. With fully async architecture, agents gain the ability to self-decide, self-extend, and self-evolve

[SOICT 2024] LLM-Powered Video Search: A Comprehensive Multimedia Retrieval System

A sample app for the Multimodal Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power Q&A experiences.

Android native AI inference library, bringing text, image, video, STT, TTS inference

PDF Parsing Tool: GOT's vLLM acceleration implementation, MinerU for layout recognition, and GOT for table formula parsing.

Shinkai allows you to create AI agents without touching code. Define tasks, schedule actions, and let Shinkai write custom code for you. Native crypto support included.

Too many docs? Quickly search over any PDF or Markdown documents

The repository explores various RAG techniques, including implementation guides, use cases, and best practices. Each article is designed to help researchers, developers, and enthusiasts understand and implement RAG systems efficiently.

Retrieval Augmented Generation Examples - Original, GPT based, Semantic Search based.

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

The Web AI Toolkit is a powerful, privacy-first JavaScript library that brings advanced AI capabilities directly to your web applications. Run OCR, speech-to-text, text summarization, image classification, and more — all locally in the browser with no data sent to external servers.

🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Qwen / DeepSeek), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Vision/TTS/Plugins/Artifacts). One-click FREE deployment of your private ChatGPT/ Claude application

MCP client for AutoMem — give Claude, Cursor, Codex, and other MCP tools durable graph+vector memory across conversations.

Find your files with natural language and ask questions.

Fact-Verified Travel AI Agent

Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.

Python SDK for vector search, semantic search, RAG, embeddings, and AI agents on Oracle AI Database