RAG / 向量检索排行

To implement LLM as a services.

🚀 Lightweight Python library for building production LLM applications with smart context management and automatic token optimization. Save 10-20% on API costs while fitting RAG docs, chat history, and prompts into your token budget.

Transforme Claude Code en générateur autonome de knowledge vault Obsidian. Pattern Karpathy. Par LE LABO IA.

.NET library for local embedding generation using ONNX and Microsoft.Extensions.AI

🏠 An AI real estate app featuring secure auth, conversation management, & personalized property recommendations. Powered by Agentic AI, RAG (w/ Pinecone), GraphRAG (w/ Neo4j), MCP, kNN, K‑Means Clustering, CoT, LangGraph, and a Mixture‑of‑Experts ensemble to deliver accurate, effective, and scalable AI insights. Also features a VS Code extension!

An easy-to-use vector database.

Turn any website into clean, LLM-ready data. Open-source web crawler with stealth mode, distributed crawling, real-time WebSocket progress & Markdown output. Power your AI apps with GcrawlAI.

AI-augmented, conversational information retrieval and data exploration

AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.

Piazza-Updater automates updates to a Weaviate database with real-time vectorial data. By continuously searching the internet and integrating with Verba repositories, it enhances retrieval-augmented generation (RAG) capabilities, keeping your applications informed and responsive.

A local, open-source alternative to NotebookLM. Chat with your documents using any LLM.

Curated Dify workflow DSL files and templates for RAG, agents, search, translation, deep research, SEO and automation.

Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL.

Interview questions and prep for AI Engineer, LLM Engineer, and Applied AI roles. Built for software engineers breaking into AI and ML practitioners levelling up: company-specific question sets, role-based study maps, worked answers, and from-scratch coding challenges.

Build use cases with VideoDB

21 runnable reference implementations of agent design patterns, including routing, planning, RAG, tool use, reflection, and multi-agent workflows.

🚀 Welcome to AskSage Open Source Repo, a community aimed at providing code 🧑‍💻, documentation📝, and proof-of-concept projects for interacting with the AskSage API. This repository serves as an unofficial resource for paid subscribers seeking practical guidance on utilizing the API. If you have any questions email us support@asksage.ai

The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.

Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.

Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration