高分好评榜

Perform visual question answering on your images

A multi-purpose repository with Sentiment Analysis of Stocks news, and Reinforcement learning based bot to trade stocks.

A straightforward explanation of how DeepSeek R1 works

Redis Vector Library (RedisVL) -- the AI-native Java client for Redis.

Bringing some SQL to Qdrant

Reference Java & Spring implementation of the Open Ingestion Standard (OIS). It provides a secure, decoupled, and vendor-neutral enterprise data integration platform leveraging modern Java 25 features, Spring Boot, Spring AI and vector search infrastructure to orchestrate data flows

Vector compression with TurboQuant codecs for embeddings, retrieval, and KV-cache. 10x compression, pure NumPy core — optional GPU acceleration via PyTorch (CUDA/MPS) or MLX (Metal).

A Python SDK for OceanBase Multimodal Store—enabling vector search, full-text search, and JSON table operations—offers both Milvus-compatible API and SQLAlchemy-based SQL mode, and supports both OceanBase and OceanBase seekdb.

Turn your Google Search Console data into a vector database and analyze search performance with AI (Gemini, Grok, Claude)

PostgreSQL-native semantic search engine with multi-modal capabilities. Add AI-powered search to your existing database without separate vector databases, vendor fees, or complex setup. Features text + image search using CLIP embeddings, native SQL joins, and 10-minute Docker deployment.

query builder of golang, build sql for go framework: sqlx, gorp... build json for Qdrant vectordb, custom for any database .... the AI-First vector db builder for rag

The multi-paradigm database expert for Claude Code — design a schema, audit it on two never-blended scores (Design & Integrity / Performance & Scale), and safely migrate. SQL · document · key-value · vector · time-series · graph. Works offline.

Unraid CA template and Docker build for Mem0 (OpenMemory). This mega-container utilizes s6-overlay to seamlessly bundle the pre-compiled Qdrant Vector Database, the Python FastAPI/MCP server, and the Next.js Dashboard UI into a single, click-and-play local AI memory layer. Built for homelabs, privacy, and true agentic AI memory retention.

Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.

🧠 Predictable, embedded multimodal vector database & offline RAG engine for Edge AI (ARM64 / Zero-OOM). Built in C++20.

🕷️ DiscovAI Crawl API(🚧 Work in Progress 🚧): A powerful web scraping solution for AI tools and vector databases. Extract clean HTML, generate LLM-friendly content, and create embeddings from any URL.

Docker build of postgresql changing the dimension limit for the cube extension, raising it to 350

Scala client for Pinecone vector database

Vectorify package for Laravel

A comprehensive, production-focused guide to acing AI/ML system design interviews at top tech companies.