AI + Data, online. https://vespa.ai
JVector: the most advanced embedded vector search engine
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
Official Java client for Qdrant
Redis Vector Library (RedisVL) -- the AI-native Java client for Redis.
OSINT Platform - Provides image analysis, digital footprints, video transcription and more. Retrieval Augmented Generation (RAG) capable platform
A Java implementation of HNSW with multi-vector search support
A getting started guide for folks who are looking for a way to quickly and easily try out the Vector Search feature in Azure Cosmos DB for NoSQL.
A Lucene codec for vector search and clustering on the GPU
ArcadeDB embedded in python
A sophisticated real-time fraud detection system that leverages MongoDB Atlas Vector Search, Apache Kafka, and AI-generated embeddings to identify suspicious financial transactions in real-time.
Apache Spark and Unum USearch integration example benchmarking distributed Vector Search against Lucene and OpenSearch
🤖 An intelligent ATS (Applicant Tracking System) powered by Spring Boot 3, 智谱AI & Milvus. Features: AI resume parsing, RAG semantic search, async pipeline, recruitment funnel analytics. | 智能招聘管理系统：AI 简历解析、RAG 语义搜索、异步处理管道、招聘漏斗分析
Advanced Multi-Query RAG implementation with Spring Boot 4 & Spring AI 2.0. Enhances retrieval accuracy by generating diverse query variations via LLMs against PostgreSQL pgvector. Features Java 21 and structured outputs
VellumHub is a book-focused microservices platform with event-driven recommendation updates, pgvector similarity search, and local read models for low-latency serving.
This is our B.Tech Capstone Project for the 2021–2025 batch.
AI-powered job matching platform that analyzes CVs and finds relevant job descriptions using Spring Boot, Ollama, Redis, MySQL, and Qdrant.
Add a description, image, and links to the vector-search topic page so that developers can more easily learn about it.
To associate your repository with the vector-search topic, visit your repo's landing page and select "manage topics."