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stateless-model-evaluation.html.md
# Stateless Model Evaluation Vespa's speciality is evaluating machine-learned models quickly over large numbers of data points. However, it can also be used to evaluate models once on request in st...docs.vespa.ai/en/stateless-model-evaluation.html.mdRegistered: Fri Oct 24 05:59:53 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 9.3K bytes - Viewed (0) -
text-matching.html.md
# Text Matching This guide demonstrates tokenization, linguistic processing and matching over [string](reference/schema-reference.html#string) fields in Vespa. The guide features examples based on ...docs.vespa.ai/en/text-matching.html.mdRegistered: Fri Oct 24 05:59:15 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 14.9K bytes - Viewed (0) -
model-hub.html.md
# Using machine-learned models from Vespa Cloud Vespa Cloud provides a set of machine-learned models that you can use in your applications. These models will always be available on Vespa Cloud and ...docs.vespa.ai/en/cloud/model-hub.html.mdRegistered: Fri Oct 24 06:00:02 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 13.3K bytes - Viewed (0) -
operations.html.md
# Operations and Support for Vespa Cloud Enclave Vespa Cloud Enclave requires that resources provisioned within the VPC are wholly managed by the Vespa Cloud orchestration services, and must not be...docs.vespa.ai/en/cloud/enclave/operations.html.mdRegistered: Fri Oct 24 06:03:35 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 1.6K bytes - Viewed (0) -
result-rendering.html.md
# Result Renderers Vespa provides a default JSON format for query results. _Renderers_ can be configured to implement custom formats, like binary and text format. Renderers should not be used to im...docs.vespa.ai/en/result-rendering.html.mdRegistered: Fri Oct 24 06:02:19 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 10K bytes - Viewed (0) -
result-diversity.html.md
# Result Diversity In Search and Recommendation applications, the highest-ranking documents are displayed to the user. A document’s rank score is computed by a function over rank features. The scor...docs.vespa.ai/en/result-diversity.html.mdRegistered: Fri Oct 24 06:02:32 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 4.4K bytes - Viewed (0) -
deployment.html.md
# Deployment In this document we explain various aspects of application deployment in detail. Refer to [application deployment](applications.html#deploying-applications) for an overview. ## Converg...docs.vespa.ai/en/deployment.html.mdRegistered: Fri Oct 24 06:01:59 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 4.6K bytes - Viewed (0) -
http-api-tutorial.html.md
# Building an HTTP API using request handlers and processors This tutorial builds a simple application consisting of these pieces: - A custom REST API - implemented in a _request handler_. - Two pi...docs.vespa.ai/en/jdisc/http-api-tutorial.html.mdRegistered: Fri Oct 24 06:04:01 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 5.6K bytes - Viewed (0) -
querying.html.md
# Querying An introduction to querying with Vespa. ## Queries Queries in Vespa are expressed as a YQL string: A query language identical to SQL for structured data, with additions for vector and fu...docs.vespa.ai/en/querying.html.mdRegistered: Fri Oct 24 05:53:30 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 4.1K bytes - Viewed (0) -
vespa_feed.html.md
# vespa feed ## vespa feed Feed multiple document operations to Vespa ### Synopsis Feed multiple document operations to Vespa. This command can be used to feed large amounts of documents to a Vespa...docs.vespa.ai/en/reference/vespa-cli/vespa_feed.html.mdRegistered: Fri Oct 24 05:53:33 UTC 2025 - Last Modified: Thu Oct 23 22:49:25 UTC 2025 - 4.3K bytes - Viewed (0)