AI Databases & Retrieval
Systems that store, index and retrieve information for AI applications. This includes vector databases, multimodel databases and retrieval engines built around semantic or hybrid search.
- Companies
- 13
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Companies
- Antfly
Antfly builds a retrieval engine and database for AI applications, with full text, vector, and graph search plus embedded chunking, reranking, and extraction inside the engine.
- Barrel DB
Barrel DB builds open-source, AI-native databases in Erlang, including a vector database for semantic/hybrid search and a document database for replication and sync.
- Chroma
Chroma is an open-source embedding/vector database and retrieval platform for AI applications, with support for storing embeddings, dense and sparse search, metadata filtering, and multimodal…
- Clipto
Clipto builds an AI memory and search platform that indexes local videos, audio, documents, and images so people can retrieve and reuse context from their files.
- LanceDB
LanceDB is an open-source, AI-native multimodal lakehouse and vector database platform for storing, retrieving, and working with embeddings, images, video, and other AI data.
- Meilisearch
Meilisearch is a flexible, user-focused search engine and AI retrieval platform for adding fast full-text, hybrid, and semantic search to websites and applications.
- Pinecone
Pinecone is a vector database and knowledge engine for building AI applications that need fast semantic retrieval, search, and long-term memory.
- Qdrant
Qdrant is an open-source vector database and cloud retrieval platform for semantic search, RAG, recommendation systems, and other AI applications. (qdrant.tech)
- SurrealDB
SurrealDB is a multi-model, AI-native database platform that combines relational, document, graph, time-series, vector, geospatial, and key-value data with built-in search and retrieval for modern…
- turbopuffer
turbopuffer is an object-storage-native search database that combines vector and full-text retrieval for AI applications, optimized for scalable, low-cost semantic search over very large document…
- Vespa.ai
Vespa.ai builds Vespa, an AI search platform and distributed serving engine for retrieval, ranking, machine learning inference, and real-time serving over large-scale text, vector, tensor, and…
- Weaviate
Weaviate builds an AI-native, open-source vector database and retrieval engine for storing, indexing, and semantically searching unstructured data for AI applications.
- Zilliz
Zilliz is the company behind Milvus, an open-source high-performance vector database and managed cloud platform for AI applications that need semantic search, retrieval, and similarity matching…