search-engine

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.

Embedded-first vector database that grows into a self-hosted service and lightweight cluster.

No fuss multi-index hybrid vector database / search engine

Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.

Serverless, lightweight, and fast vector database on top of DynamoDB

Qdrant operator creates and manages Qdrant clusters running in Kubernetes

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.

Evals framework for Information Retrieval Systems

Cloud-agnostic Agentic AI & Multi-Modal RAG platform with GraphRAG, intelligent routing, MCP enterprise integrations (Odoo, PostgreSQL), and pluggable LLM providers.

A simple yet powerful semantic AI search engine⚡️

A Microsoft .NET native client for Weaviate

A rust native, standalone and self-managed vector database uses HNSW data structure for fast queries and search.

This project is a multi-modal AI voice assistant that uses LM Studio, OpenAI API or Claude Code, audio processing with WhisperModel, speech recognition, clipboard extraction, and image processing to respond to user prompts.

A lock-free, in-memory fuzzy search engine for Kotlin Multiplatform. L2-normalized sparse vector embeddings with O(1) cosine similarity — handles typos, transpositions, and blind continuation. Zero-allocation search via primitive arrays, reactive StateFlow results, and instant cold-start via JSONL import/export.