MongoDB says Vector Search “dramatically simplifies bringing generative AI and semantic search into applications for highly engaging end-user experiences.” It sounds great, but even after reading the ...

Free open-source framework integrates with scads of vector stores, LLMs, and data sources and works for Q&A, structured extraction, chat, semantic search, and agent use cases.

How Rockset is bringing real time indexing to vector search. The market for vector search capabilities has become very competitive in 2023. Vectors, which are numerical representations of data, ...

Qdrant releases the first platform-independent GPU-accelerated vector index, enabling up to 10x faster index-building for vector search.

Microsoft has updated its Azure AI Search service to increase storage capacity and vector index size at no additional cost, a move it said will make it more economical for enterprises to run ...

The company’s new C-SPANN vector index uses the SPANN algorithm, which is based on Microsoft research. This specifically handles billions of vectors across a distributed, disk-based system.

Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed ...

Milvus is an open-source vector database developed by Zilliz, designed to manage and search large-scale vector data efficiently. It serves as the foundation for Zilliz Cloud, the company’s fully ...

Hierarchical Navigable Small World. The GPU-accelerated feature optimises HNSW (Hierarchical Navigable Small World) index building, one of the most resource-intensive steps in the vector search ...

Microsoft revealed a set of updates to its Azure platform during the Build 2025 conference aimed at improving dev access to AI-powered voice agents, document indexing and vector search integration.