Tools tagged with "Semantic Search"

OpenViking is an open-source context database for AI agents. It unifies agent memory, knowledge RAG, and skills, organizing context as a navigable filesystem for retrieval and reuse.

GraphRAG is a modular graph-based Retrieval-Augmented Generation system that extracts a knowledge graph from unstructured text, builds a community hierarchy, generates summaries, and supports global, local, DRIFT, and basic search.

Qdrant is a high-performance, massive-scale vector database and vector similarity search engine for next-generation AI applications. It stores, searches, and manages vectors with payload filtering. Also available as managed Qdrant Cloud.

QMD is a local-first mini CLI search engine for docs, knowledge bases, meeting notes, and other text. It combines BM25 full-text search, vector semantic search, and LLM re-ranking while running on-device via node-llama-cpp with GGUF models.

Chroma is open-source search infrastructure for AI. It provides fast, serverless, scalable infrastructure for vector, sparse vector, full-text, regex, and metadata search, built on object storage for multi-tenant indexes.