Tags: #semantic-search

A lightning-fast search engine API offering AI-powered hybrid search for seamless integration into applications and websites.

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

A self-hostable AI second brain that integrates with various LLMs and data sources to provide personalized answers, automate research, and create custom AI agents.

LEANN is an innovative vector database enabling fast, accurate, and 100% private RAG on personal devices with 97% storage savings.

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

SimpleMem provides an efficient, lifelong, and multimodal memory solution for LLM agents, featuring semantic lossless compression and retrieval.

A local, open-source AI memory system designed to store every AI conversation verbatim and organize it for highly efficient semantic retrieval, achieving top benchmark scores.

Enhances AI coding agents like Claude Code with semantic search, providing deep, cost-effective context from the entire codebase.

An interactive learning platform providing tutorials and demos to master Milvus for building AI applications with unstructured data.

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

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.