- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 401 - 410 of 1,382 for host:docs.vespa.ai (0.11 sec)
-
document-enrichment.html.md
# Document enrichment with LLMs Document enrichment enables automatic generation of document field values using large language models (LLMs) or custom code during feeding. It can be used to transfo...docs.vespa.ai/en/rag/document-enrichment.html.md Similar Results (1)Registered: Mon Jan 05 05:47:43 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 18.9K bytes - Viewed (0) -
external-llms.html.md
# External LLMs in Vespa Please refer to [Large Language Models in Vespa](llms-in-vespa.html) for an introduction to using LLMs in Vespa. Vespa provides a client for integration with OpenAI compati...docs.vespa.ai/en/rag/external-llms.html.mdRegistered: Mon Jan 05 05:47:53 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 6.7K bytes - Viewed (0) -
api.html.md
# Vespa API and interfaces ## Deployment and configuration - [Deploy API](deploy-v2.html): Deploy [application packages](../../basics/applications.html) to configure a Vespa application - [Config A...docs.vespa.ai/en/reference/api/api.html.mdRegistered: Mon Jan 05 05:49:18 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 2.2K bytes - Viewed (0) -
elasticity.html.md
# Content cluster elasticity Vespa clusters can be grown and shrunk while serving queries and writes. Documents in content clusters are automatically redistributed on changes to maintain an even di...docs.vespa.ai/en/content/elasticity.html.md Similar Results (1)Registered: Mon Jan 05 05:51:41 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 10.9K bytes - Viewed (0) -
gcp-getting-started.html.md
# Getting started with Vespa Cloud Enclave in GCP Setting up Vespa Cloud Enclave requires: 1. Registration at [Vespa Cloud](https://console.vespa-cloud.com), or use a pre-existing tenant. 2. Regist...docs.vespa.ai/en/operations/enclave/gcp-getting-started.html.mdRegistered: Mon Jan 05 05:51:18 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 4.5K bytes - Viewed (0) -
Select Query Reference
Vespa basics Deploy an application Vespa applications Schemas Writing Querying Ranking Operations What's more Learn m...docs.vespa.ai/en/reference/querying/json-query-language Similar Results (1)Registered: Mon Jan 05 05:53:15 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 1004.9K bytes - Viewed (0) -
query.html.md
# Query API Reference Refer to the [Query API guide](../../querying/query-api.html) for API examples. All the request parameters listed below can be set in query profiles. The first four blocks of ...docs.vespa.ai/en/reference/api/query.html.mdRegistered: Mon Jan 05 05:53:20 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 48.4K bytes - Viewed (0) -
nativerank.html.md
# The nativeRank rank feature The _nativeRank_ text match score is a reasonably good text feature score which is computed at an acceptable performance by Vespa. It computes a normalized rank score ...docs.vespa.ai/en/ranking/nativerank.html.mdRegistered: Mon Jan 05 05:54:02 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 9.2K bytes - Viewed (0) -
llms-in-vespa.html.md
# Large Language Models in Vespa Large Language Models (LLMs) are AI systems that generate human-like text, supporting a variety of applications like chatbots and content generation. In Vespa, LLMs...docs.vespa.ai/en/rag/llms-in-vespa.html.mdRegistered: Mon Jan 05 05:54:49 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 17.6K bytes - Viewed (0) -
local-llms.html.md
# Running LLMs inside your Vespa application Please refer to [Large Language Models in Vespa](llms-in-vespa.html) for an introduction to using LLMs in Vespa. Vespa supports evaluating LLMs within y...docs.vespa.ai/en/rag/local-llms.html.mdRegistered: Mon Jan 05 05:54:55 UTC 2026 - Last Modified: Sun Jan 04 20:44:20 UTC 2026 - 13.1K bytes - Viewed (0)