Semantic Search
Showing 36 of 44 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.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
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.
An ultra-performant data transformation framework for AI, with incremental processing and data lineage built-in.
A self-hosted photo management service with automatic face recognition, object detection, and semantic search.
An AI-enhanced terminal development environment that integrates coding agents with your shell to assist with development tasks using 300+ AI models.
Chat with your PDF files using GPT with a simple, accurate RAG architecture that avoids third-party dependencies.
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.
A command-line tool that performs semantic searches on text using word embeddings to find words with similar meaning to the query.
An embeddable vector database for Go with a Chroma-like interface, enabling RAG and semantic search without external dependencies.
A code repository indexing tool that enhances LLM coding assistance by providing project-specific context to reduce hallucinations.
An open-source, self-hostable meme search engine that uses AI to index and retrieve memes via semantic search.
A modular multi-modal transactional database for AI and semantic search, replacing MongoDB, Neo4J, and Elastic with a single ACID solution.
Run ONNX transformer pipelines (like Hugging Face) natively in Go for inference and fine-tuning, with support for CPU, GPU, and TPU.
A self-hosted, single-binary photo gallery focused on speed, simplicity, and handling massive photo collections.
A production-ready Rust framework for adding persistent, intelligent long-term memory to AI agents and autonomous systems.
Extract and index knowledge from websites, PDFs, docs, and YouTube to power Q&A sessions using GPT and other language models.
Adds structured AI outputs, vectorization, and tool calling to Ash Framework applications using ReqLLM.
A Model Context Protocol server for MariaDB that enables AI assistants to query databases and perform semantic search using vector embeddings.
A semantic search system that extracts and surfaces biomedical concepts from clinical notes in EHRs for research and care.
A complete Ruby client for the Pinecone vector database, supporting all API operations with local development and performance optimizations.
A Linux file picker with semantic image search, thumbnail previews, and an integrated image viewer.
A Ruby client library for interacting with the Weaviate vector search database API.
A Python library for blazing fast fuzzy and semantic text search using vectorization and approximate nearest neighbor techniques.
A Claude Code plugin that provides instant search of official Claude documentation, generates interactive HTML courses, and creates changelog reports.
A Ruby client library for interacting with the Milvus vector database API.
A native MySQL plugin for vector storage and similarity search, enabling AI-powered applications directly within your database.
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