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document-processors.html.md
# Document processors This document describes how to develop and deploy _Document Processors_, often called _docproc_ in this documentation. Document processing is a framework to create [chains](ch...docs.vespa.ai/en/applications/document-processors.html.mdRegistered: Fri Dec 12 05:01:17 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 17.8K bytes - Viewed (0) -
federation.html.md
# Federation  The Vespa Container allows multiple sources of data to be _federated_ to a common search service. The sources of data may be bo...docs.vespa.ai/en/querying/federation.html.mdRegistered: Fri Dec 12 05:01:59 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 29.5K bytes - Viewed (0) -
migrating-from-elastic-search.html.md
# Migrating from Elasticsearch This is a guide for how to move data from Elasticsearch to Vespa. By the end of this guide you will have exported documents from Elasticsearch, generated a deployable...docs.vespa.ai/en/learn/migrating-from-elastic-search.html.mdRegistered: Fri Dec 12 05:01:00 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 8.5K bytes - Viewed (0) -
query-language.html.md
# Vespa Query Language - YQL Vespa accepts unstructured human input and structured queries for application logic separately, then combines them into a single data structure for executing. Human inp...docs.vespa.ai/en/querying/query-language.html.mdRegistered: Fri Dec 12 05:08:57 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 3.8K bytes - Viewed (0) -
practical-search-performance-guide.html.md
# Vespa query performance - a practical guide This is a practical Vespa query performance guide. It uses the[Last.fm](http://millionsongdataset.com/lastfm/) tracks dataset to illustrate Vespa query...docs.vespa.ai/en/performance/practical-search-performance-guide.html.mdRegistered: Fri Dec 12 05:14:21 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 72.9K bytes - Viewed (0) -
sizing-examples.html.md
# Vespa Scaling Configuration Examples This guide has a set of example configurations for content clusters using flat or grouped data distribution. Data is distributed over nodes and groups using a...docs.vespa.ai/en/performance/sizing-examples.html.mdRegistered: Fri Dec 12 05:16:31 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 11.5K bytes - Viewed (0) -
zones.html.md
# Zones An application is deployed to a _zone_, which is a combination of an [environment](environments.html) and a _region_, like `vespa deploy -z dev.aws-us-east-1c`. If an application requires z...docs.vespa.ai/en/operations/zones.html.mdRegistered: Fri Dec 12 05:15:34 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 2.5K bytes - Viewed (0) -
consistency.html.md
# Vespa Consistency Model Vespa offers configurable data redundancy with eventual consistency across replicas. It's designed for high efficiency under workloads where eventual consistency is an acc...docs.vespa.ai/en/content/consistency.html.mdRegistered: Fri Dec 12 05:16:19 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 11.1K bytes - Viewed (0) -
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.mdRegistered: Fri Dec 12 05:15:48 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 7.2K bytes - Viewed (0) -
docker-containers.html.md
# Docker containers This document describes tuning and adaptions for running Vespa Docker containers, for developer use on laptop, and in production. ## Mounting persistent volumes The [quick start...docs.vespa.ai/en/operations/self-managed/docker-containers.html.mdRegistered: Fri Dec 12 05:20:27 UTC 2025 - Last Modified: Wed Dec 10 18:38:33 UTC 2025 - 15.1K bytes - Viewed (0)