When building a RAG system, do you automatically choose a vector database?In a customization project I took on recently, I ...

Elastic N.V. launched its Elasticsearch Vector Database, a serverless AI search product with 32x memory reduction targeting ...

In early September 2026, Elastic launched the Elasticsearch Vector Database, a serverless platform that automates embeddings, ...

Agent memory is not one database or an endlessly growing prompt. It is a designed system for retaining working context, ...

Each step adds operational overhead as data volumes grow, with most pure-play vector databases adding unpredictable pricing on top. Elasticsearch Vector Database handles all of this automatically ...

Elastic (NYSE: ESTC) today announced Elasticsearch Vector Database, a new serverless offering purpose-built for large-scale vector search and AI applications. Elasticsearch is already one of the most ...

Its vector search is ready, but coding assistants keep pointing developers toward other databases, says the foundation's chairman ...

HNSW and the filtered-search trap: why your WHERE clause returns fewer rows than it should, and how hybrid search fixes what ...

Embeddings are dense numerical vectors learned so that items with useful semantic or behavioral relationships occupy nearby ...

Learn what custom software development is, its types, benefits, solutions, development process, costs, technologies, and 2026 ...

VDPU integrates with Dnotitia's Seahorse vector database and widely used vector-search software including Milvus, FAISS and ...

On September 11, Elastic (NYSE:ESTC) rolled out Elasticsearch Vector Database, a new serverless offering the company says ...