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Mapping embeddings to Elasticsearch field types...
document scoring, it is also possible to use the script_score query,...in Elasticsearch is used to store dense vectors, which are numerical...www.elastic.co/search-labs/blog/mapping-embeddings-to-elasticsearch-field-types -
Unstructured data processing with NV‑Ingest, Un...
uploading the results into vector stores, databases and search engines....processed data into a vector store, search engine, or a database....www.elastic.co/search-labs/blog/unstructured-data-processing-nv-ingest-elastic -
Microsoft Azure AI Services - Elasticsearch Labs
www.elastic.co/search-labs/integrations/microsoft -
The Elastic Search AI Platform — Drive real-tim...
and scalable storage Securely store and quickly access all of your...INNOVATION See all customer stories Platform features Ingest Ingest...www.elastic.co/platform -
ChatGPT and Elasticsearch: OpenAI meets private...
align scores Set size=1 to return only the top scored document...ChatGPT to proprietary data stores using Elasticsearch and build...www.elastic.co/search-labs/blog/chatgpt-elasticsearch-openai-meets-private-data -
Why SREs need AI and ML for observability and I...
www.elastic.co/virtual-events/aws-observability-ai-ml-resilience -
Elastic and Opster join forces to help users ta...
www.elastic.co/blog/elastic-opster-join-forces -
Kibana Alerting: Alerts & Actions for Elasticse...
www.elastic.co/kibana/alerting -
Synthetic Monitoring with Elastic Observability...
www.elastic.co/observability/synthetic-monitoring -
Introducing Elasticsearch Relevance Engine (ESR...
storing, and searching dense embeddings...based on the customer’s data stores consolidated within Elasticsearch...www.elastic.co/search-labs/blog/introducing-elasticsearch-relevance-engine-esre