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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.mdThu Feb 05 12:14:32 GMT 2026 17.6K bytes -
vespa.html.md
# vespa ## vespa The command-line tool for Vespa.ai ### Synopsis The command-line tool for Vespa.ai. Use it on Vespa instances running locally, remotely or in Vespa Cloud - use a token for Vespa Cl...docs.vespa.ai/en/reference/clients/vespa-cli/vespa.html.mdThu Feb 05 12:14:32 GMT 2026 2.7K bytes -
indexing-paged-vectors.html.md
# Indexing paged vectors Most of the data of a vector (tensor) index is the vectors themselves. The vector data must be accessed to calculate true distances both when querying the index and when ad...docs.vespa.ai/en/writing/indexing-paged-vectors.html.mdThu Feb 05 12:14:32 GMT 2026 2K bytes -
ingress.html.md
# Configure External Access Layer The Vespa Operator automatically provisions Kubernetes `Service` resources to enable external access for feeding and querying data. This behavior is controlled by ...docs.vespa.ai/en/operations/kubernetes/ingress.html.mdThu Feb 05 12:14:32 GMT 2026 5.4K bytes -
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.mdThu Feb 05 12:14:32 GMT 2026 18.9K bytes -
multivalue-query-operators.html.md
# Multivalue Query Operators This article is a followup to the [ranking introduction](ranking-intro). Some use cases in this guide are better solved using [tensors](tensor-user-guide.html). ## dotP...docs.vespa.ai/en/ranking/multivalue-query-operators.html.mdThu Feb 05 12:14:32 GMT 2026 11.3K bytes -
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.mdThu Feb 05 12:14:32 GMT 2026 10.9K bytes -
faq.html.md
# FAQ - frequently asked questions Refer to [Vespa Support](https://vespa.ai/support/) for more support options. ## Ranking ### Does Vespa support a flexible ranking score? [Ranking](../basics/rank...docs.vespa.ai/en/learn/faq.html.mdThu Feb 05 12:14:32 GMT 2026 60.4K bytes -
web-services.html.md
# Developing Web Service Applications This document explains how to develop (REST) web service type applications on the container - design options, accessing the request path, returning a status co...docs.vespa.ai/en/applications/web-services.html.mdThu Feb 05 12:14:32 GMT 2026 7.8K bytes -
benchmarking.html.md
# Vespa Benchmarking Benchmarking a Vespa application is essential to get an idea of how well the test configuration performs. Thus, benchmarking is an essential part of sizing a search cluster its...docs.vespa.ai/en/performance/benchmarking.html.mdThu Feb 05 12:14:32 GMT 2026 7.4K bytes