Prototype and integrate with LLMs faster

Get the foundation for a full vector search experience and generative AI integration. Use a single platform to create, store, and search embeddings for dense retrieval and capture your unstructured data’s meaning and context — across text, images, videos, audio, geo-location, or other data.

Elasticsearch goes further than other vector databases with a full suite of search capabilities: filters and faceting, document level security, on-prem or cloud deployment, and more.

Get relevant semantic search out of the box across domains with the Elastic Learned Sparse Encoder model. Implement it easily with a single click when setting up your new search application. Query expansions with related keywords and relevance scores make the model easily understood and ready for prime time on any dataset — no fine-tuning required.

Incorporate your proprietary, business-specific information with LLMs so that generative AI applications don't have to simply rely on publicly trained data. Elasticsearch is your data source for highly relevant search results that enhance the quality of LLM output via context window. Integrate with generative AI or your preferred LLM using Elasticsearch's APIs and plugins.