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document-v1-api-guide.html.md
# /document/v1 API guide Use the _/document/v1/_ API to read, write, update and delete documents. Refer to the [document/v1 API reference](../reference/api/document-v1.html) for API details. [Reads...docs.vespa.ai/en/writing/document-v1-api-guide.html.md Similar Results (1)Registered: Fri Dec 12 05:01:46 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 17K bytes - Viewed (0) -
aws-architecture.html.md
# Vespa Cloud Enclave AWS Architecture Each Vespa Cloud Enclave in the tenant AWS account corresponds to a Vespa Cloud[zone](../zones.html). Inside the tenant AWS account one enclave is contained w...docs.vespa.ai/en/operations/enclave/aws-architecture.html.mdRegistered: Fri Dec 12 05:02:39 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 3.3K bytes - Viewed (0) -
query-api.html.md
# Query API Use the Vespa Query API to query, rank and organize data. Example: ``` $ vespa query "select * from music where year > 2001" \ "ranking=rank_albums" \ "input.query(user_profile)={{cat:p...docs.vespa.ai/en/querying/query-api.html.mdRegistered: Fri Dec 12 05:10:49 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 36K bytes - Viewed (0) -
nearest-neighbor-search.html.md
# Nearest Neighbor Search Nearest neighbor search, or vector search, is a technique used to find the closest data points to a given query point in a high-dimensional vector space. This is supported...docs.vespa.ai/en/querying/nearest-neighbor-search.html.mdRegistered: Fri Dec 12 05:10:55 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 17.4K 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: Fri Dec 12 05:11:03 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 4.5K 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: Fri Dec 12 05:11:23 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 13.1K 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: Fri Dec 12 05:09:56 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 10.9K bytes - Viewed (0) -
attributes.html.md
# Attributes An _attribute_ is a [schema](../reference/schemas/schemas.html#attribute) keyword, specifying the indexing for a field: ``` field price type int { indexing: attribute } ``` Attribute p...docs.vespa.ai/en/content/attributes.html.mdRegistered: Fri Dec 12 05:10:01 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 22.6K bytes - Viewed (0) -
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: Fri Dec 12 05:12:20 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 18.9K bytes - Viewed (0) -
document-v1.html.md
# /document/v1 API reference This is the /document/v1 API reference documentation. Use this API for synchronous [Document](../../schemas/documents.html) operations to a Vespa endpoint - refer to [r...docs.vespa.ai/en/reference/api/document-v1.html.md Similar Results (1)Registered: Fri Dec 12 05:19:42 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 27.2K bytes - Viewed (0)