Category
Databases and retrieval systems used for semantic search, RAG, and embedding-based recall.
5 tools in this category
Microsoft
A managed search platform for keyword, vector, and hybrid retrieval in enterprise AI apps.
Azure AI Search is used to build search experiences, RAG pipelines, semantic retrieval, and enterprise knowledge applications that need managed indexing and query infrastructure.
Zilliz
An open-source vector database for high-scale similarity search and retrieval systems.
Milvus is used when teams want to build retrieval-heavy systems with large-scale vector search and are comfortable operating more involved infrastructure.
Pinecone
A managed vector database for similarity search, retrieval, and AI application memory layers.
Pinecone is used to store embeddings and power semantic search or RAG pipelines when teams want a managed retrieval layer instead of operating vector infrastructure themselves.
Qdrant
A vector database for similarity search with both managed cloud and self-hosted deployment paths.
Qdrant is used to store and query embeddings in search and recommendation systems, especially when developers want strong filtering and flexible deployment options.
Weaviate
A vector database and AI-native search platform with cloud and self-hosted deployment options.
Weaviate is used for vector search, hybrid retrieval, and AI applications that need a database with semantic search features and flexible deployment choices.