Semantic Search
Showing 16 of 16 projects
A lightning-fast search engine API that brings AI-powered hybrid search to your sites and applications.
A high-performance, cloud-native vector database built for scalable approximate nearest neighbor (ANN) search.
A high-performance vector database and search engine written in Rust, designed for AI applications with filtering and payload support.
Open-source vector database and embedding store for building AI applications with semantic search.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
A Python framework for computing and training state-of-the-art text embeddings, rerankers, and sparse encoders.
An open-source, cloud-native vector database that combines semantic search with structured filtering for AI applications.
An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows built around an embeddings database.
An open-source embedded retrieval library for multimodal AI, offering fast vector search, SQL, and full-text search.
A self-hosted photo management service with automatic face recognition, object detection, and semantic search.
Chat with your PDF files using GPT with a simple, accurate RAG architecture that avoids third-party dependencies.
An ultra-performant data transformation framework for AI, with incremental processing and data lineage built-in.
An AI-enhanced terminal development environment that integrates coding agents with your shell to assist with development tasks using 300+ AI models.
A local-first knowledge base that enables AI assistants to persistently read and write structured notes using the Model Context Protocol.
Open-source persistent memory backend for AI agent pipelines with REST API, knowledge graph, and autonomous consolidation.
A Ruby framework for orchestrating multiple AI agents as a collaborative team with persistent memory and semantic search.
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