RAG / 向量检索排行

Инициатива, посвященная безопасности агентов на базе искусственного интеллекта

Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). Apache-2.0.

Privacy-first semantic code navigation MCP server using RAG. Features deep AST multi-language support (Go, PHP/Laravel/WP, JS/TS/React, Python), 100% local LLMs (Ollama), and vector search (Qdrant) for AI IDEs like Cursor, Windsurf, Copilot, and Claude.

Multi-agent会话式金融研究平台。提供专业智能体（价格分析、新闻追踪、宏观经济、深度研究），支持实时流式响应、自动生成8章节投资报告和投资组合监控。采用LangGraph、FastAPI和React技术栈开发。

Fully Configurable RAG Pipeline for Bengali Language RAG Applications. Supports both Local and Huggingface Models, Built with Langchain.

Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.

NeuronDB PostgreSQL extension: vector similarity search (HNSW, IVFFlat), embeddings, kNN, ML in SQL, and hybrid full-text + vector retrieval.

A virtual agent for your virtual books📚

The official Java client for the Pinecone vector database

Stop paying for AI APIs during development. LocalCloud runs everything locally - GPT-level models, databases, all free.

Advanced AI email assistant using Groq for responsive replies, Llama for contextual information retrieval, and RAG with LangChain for enhanced accuracy.

Perplexity style AI answer engine for AI PCs with CPU,GPU and NPU support

Open-source Legal AI workspace for evidence-grounded legal drafting, matter analysis and verifiable answers.

PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust.

Persistent memory for AI agents - Learn, remember, improve. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.

基于 Langchain，快速集成GLM-4 AllTools 功能的插件

Langchain Models for RAGs and Agents

A simple local Retrieval-Augmented Generation (RAG) chatbot that can answer to questions by acquiring information from personal PDF documents.

🧠 A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining, and a real-time interactive assistant across deploy-ready frontend, backend, and infrastructure stacks.

Source code for the IBM Granite AI Model Workshop