Tags: #semantic-search

MindsDB is an AI-powered query engine that enables AI agents to securely access, unify, and analyze data from diverse sources using natural language and SQL.

A lightning-fast, AI-powered search engine API designed for seamless integration, offering out-of-the-box features for delightful search experiences.

An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows, powered by an embeddings database.

LEANN is an innovative on-device vector database enabling private, efficient, and fast Retrieval Augmented Generation (RAG) across all your personal data with significant storage savings.

An open-source, cloud-native vector database enabling semantic search at scale by combining vector similarity with structured filtering and AI capabilities.

An open-source, local-first AI memory system designed for verbatim storage and high-recall semantic retrieval of conversation history.

An MCP plugin that provides AI coding agents like Claude Code with deep, cost-effective context from an entire codebase through semantic search.

A comprehensive learning resource providing tutorials and demos to master Milvus for building advanced AI applications with unstructured data.

A comprehensive toolkit for computing CLIP embeddings and building scalable semantic search and retrieval systems for multimodal data.

OpenRecall is an open-source, privacy-first cross-platform alternative to proprietary digital memory solutions, allowing users to capture, search, and revisit their digital history locally.

An open-source AI platform providing foundational capabilities for automation and semantic search, enabling developers to build, control, and deploy production-ready AI systems anywhere.

A superfast decision-making layer for LLMs and AI agents that routes requests based on semantic meaning, bypassing slow LLM generations.