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embedding.html.md
# Embedding A common technique is to map unstructured data - say, text or images - to points in an abstract vector space and then do the computation in that space. For example, retrieve similar dat...docs.vespa.ai/en/rag/embedding.html.mdThu Feb 05 12:14:32 GMT 2026 31.6K bytes -
parent-child.html.md
# Parent/Child Using [document references](../reference/schemas/schemas.html#reference), documents can have parent/child relationships. Use this to join data by [importing](../reference/schemas/sch...docs.vespa.ai/en/schemas/parent-child.html.mdThu Feb 05 12:14:32 GMT 2026 7.7K bytes -
content-nodes.html.md
# Content nodes, states and metrics  Content cluster processes are _distributor_, _proton_ and _cluster controller_. The distributor calcula...docs.vespa.ai/en/content/content-nodes.html.mdThu Feb 05 12:14:32 GMT 2026 19.6K bytes -
private-endpoints.html.md
# Private endpoints Vespa Cloud lets you set up private endpoint services on your application clusters, for exclusive access from your own, co-located VPCs with the same cloud provider. This is sup...docs.vespa.ai/en/operations/private-endpoints.html.mdThu Feb 05 12:14:32 GMT 2026 4.6K bytes -
lucene-linguistics.html.md
# Lucene Linguistics Lucene Linguistics is a custom [linguistics](linguistics.html) implementation of the [Apache Lucene](https://lucene.apache.org) library. It provides a Lucene analyzer to handle...docs.vespa.ai/en/linguistics/lucene-linguistics.html.mdThu Feb 05 12:14:32 GMT 2026 10.7K bytes -
cross-encoders.html.md
# Ranking With Transformer Cross-Encoder Models [Cross-Encoder Transformer](https://blog.vespa.ai/pretrained-transformer-language-models-for-search-part-4/) based text ranking models are generally ...docs.vespa.ai/en/ranking/cross-encoders.html.mdThu Feb 05 12:14:32 GMT 2026 11K bytes -
gcp-architecture.html.md
# Architecture for Vespa Cloud Enclave in GCP ### Architecture Each Vespa Cloud Enclave in the tenant GCP project corresponds to a Vespa Cloud[zone](../zones.html). Inside the tenant GCP project on...docs.vespa.ai/en/operations/enclave/gcp-architecture.html.mdThu Feb 05 12:14:32 GMT 2026 3.3K bytes -
rag.html.md
# Retrieval-augmented generation (RAG) in Vespa Please refer to [Large Language Models in Vespa](llms-in-vespa) for an introduction to using LLMs in Vespa. Retrieval-Augmented Generation (RAG) is a...docs.vespa.ai/en/rag/rag.html.mdThu Feb 05 12:14:32 GMT 2026 5.7K bytes -
fa-regular-400.woff2
25392matplotlib.org/stable/_static/vendor/fontawesome/6.5.2/webfonts/fa-regular-400.woff2Fri Dec 12 19:10:52 GMT 2025 24.8K bytes -
Space Grotesk Light
2020-10-02T00:19:37Z Space Grotesk Light 2020-10-02T07:55:15Z Copyright 2020 The Space Grotesk Project Authors (https://github.com/floriankarsten/space-grotesk) 1.0 SpaceGrotesk-Light Space Grotesk...redis.io/docs/latest/fonts/SpaceGrotesk-VariableFont_wght.ttfMon Jul 14 13:16:53 GMT 2025 131K bytes