高分好评榜

Documentation for LanceDB, the Multimodal Lakehouse for AI

An AI powered Video Serach Engine with google's SigLIP and Qdrant. It allows to search objects or key moments in videos just using natural language.

Docsifer is a powerful tool for converting various data formats into Markdown for applications such as indexing, text analysis, and more. It supports PDF, PowerPoint, Word, Excel, Images, Audio, HTML, and other text-based formats, and leverages LLMs to enhance performance.

Build an AI Driven Portfolio App with NextJS and Tailwind CSS. We will learn advance AI Technologies like vector embedding and vector databases along with how to work with Open AI's APIs. This is an amazing project to impress recruiters a lot and showcase your skillset.

index binary vectors for efficient nearest neighbor search

A personal AI knowledge assistant powered by RAG, semantic search, and document understanding for context-aware answers.

Exploring what HN is really thinking

A PDF Question-Answering App built with RAG (Retrieval-Augmented Generation), allowing users to upload PDFs and ask context-based questions. Powered by Streamlit, LangChain, Ollama, and Chroma for efficient and accurate answers.

This project aims to provide an efficient and scalable API for embedding and storing vectors, leveraging the power of FastAPI, Langchain framework and a vector database such as Chroma.

EduMIND — Multimodal Bilingual Lecture Assistant with Anti-Forget RAG, Whisper ASR, VietMix NMT (CMI-aware), and Human-in-the-Loop Active Learning via Label Studio. Built for code-mixed Vietnamese–English academic environments.

AI YouTube Video Chat application, to ask questions to a YouTube video bot and get answers.

Production-style Retrieval-Augmented Generation document Q&A: LangChain ingestion, Chroma/pgvector store, hybrid retrieval, citation-grounded answers and a streaming chat API.

Build a full‑stack helpdesk system with autonomous multi‑agent AI for ticket resolution and escalation.

AI Legal Defense System with 805,000+ legal documents covering the entire US legal system. Features 31 specialized Slack commands, voice support, session memory, and smart caching. Built with Agent OS + Claude-Flow + Claude Code.

🧠 The Complete Guide to Context Engineering — Research Papers, Blogs, YouTube Videos, Tools & Best Practices for LLM Context Window Optimization

High-performance database management system

A-MEM Agentic Memory System - MCP Server for IDE Integration (Cursor, VSCode) | Dual-Storage: ChromaDB + NetworkX DiGraph with explicit typed edges | Based on Zettelkasten

⚡ High-performance multi-model knowledge graph database written in Rust. SQL, Cypher & Gremlin queries · 11 graph algorithms · AI/ML with HNSW vectors · REST API · Zero GC · Blazingly fast.

⚡ Vectro: Lightning-fast embedding quantization. Hit 12M+ vec/s throughput (4.85× faster than FAISS C++) while drastically cutting memory footprint for vector databases and local AI research.

MCP server that exposes Obsidian Smart Connections vector database to Claude Code via semantic search