vector-database

YiShape Vector Database is a specialized vector database management system and application assistance system for new artificial intelligence applications such as large language models, natural language processing, and image retrieval.

Drop-in AI memory layer with 2x faster response and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for free.

Rust client library for ChromaDB

SochDB is a high-performance embedded, ACID-compliant vector database purpose-built for AI agents and memory

Universal vector search wrapper for Postgres, MySQL, SQLite (pgvector, Vector Store, sqlite‑vss).

Intelligent file organization with computer vision, audio analysis, chunking, proactive AI-powered analysis, interactive classification, and adaptive learning.

🎩 Magic in Pocket / 🪄 口袋里的“魔法”.

Simple, Composable, High-Performance, Safe and Web3 Friendly AI Agents and LazAI Gateway for Everyone

Open-source, S3-native vector and full-text search engine. Fast, cheap, self-hostable.

Diagnose the performance of your RAG🩺

An application to write and run SQL queries, returning answers to natural language questions, using langchain and open source LLM models through HuggingFace.

Vectors analytics and search library using dispersion models. Provides graph analysis, vector search and a energy-distribution stats for your vectors in one package.

Semantic video search system that indexes audio and visual content to enable timestamp-accurate retrieval inside videos using natural language queries.

ONNX implementation of the BGE-M3 multilingual embedding model and tokenizer with native C#, Java, and Python implementations. Generates all three embedding types: dense, sparse, and ColBERT vectors.

QA Bot for Hugging Face documentation to accelerate development within the ecosystem.

A reusable, open-source AI infrastructure designed for communities and organizations. It understands structured data, processes official announcements, and answers questions accurately by centralizing important information.

A python library for efficient KNN search within metric spaces using multiple distance functions.

Build a Python Reflex App with OpenAI, a Neon Postgres + Vector Database, and Deploy to a Virtual Machine

Operational Database for AI Agents Provide causality lineage, DAG, and State Replay , build to make AI Agents auditable Reliable and EU AI ACT compliant

You put an agent into an Elpis, and it becomes Elpis; Be Elpis my friend.