Hybrid Search
Showing 8 of 8 projects
Ready-to-deploy Docker templates for building real-time RAG, AI pipelines, and enterprise search applications with live data sync.
A lightning-fast search engine API that brings AI-powered hybrid search to your sites and applications.
An open-source, cloud-native vector database that combines semantic search with structured filtering for AI applications.
An open-source, fast, and easy-to-use database designed for full-text and hybrid search, serving as a drop-in replacement for Elasticsearch.
A PostgreSQL extension that brings Elastic-quality full-text search and analytics directly inside Postgres.
A PostgreSQL extension that brings Elastic-quality full-text search and analytics directly inside Postgres.
An AI-native database built for LLM applications, offering incredibly fast hybrid search across vectors, tensors, and full-text.
A self-learning vector database with graph intelligence, local AI, and PostgreSQL integration, built for real-time adaptation.
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.