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Header Parameters - FastAPI
fastapi.tiangolo.com/tutorial/header-params/Registered: Wed Nov 05 06:36:51 UTC 2025 - 149.5K bytes - Viewed (0) -
linguistics.html.md
# Linguistics in Vespa Vespa uses a _linguistics_ module to process text in queries and documents during indexing and searching. The goal of linguistic processing is to increase _recall_ (how many ...docs.vespa.ai/en/linguistics.html.mdRegistered: Wed Nov 05 06:36:52 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 17.8K bytes - Viewed (0) -
testing.html.md
# Vespa testing A system tests suite is an invaluable tool both when developing and maintaining a complex Vespa application. These are functional tests which are run against a deployment of the app...docs.vespa.ai/en/testing.html.mdRegistered: Wed Nov 05 06:37:00 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 9.7K bytes - Viewed (0) -
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/embedding.html.mdRegistered: Wed Nov 05 06:36:36 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 31.3K bytes - Viewed (0) -
xgboost.html.md
# Ranking with XGBoost Models Vespa supports importing Gradient Boosting Decision Tree (GBDT) models trained with XGBoost. ## Exporting models from XGBoost Vespa supports importing XGBoost's JSON m...docs.vespa.ai/en/xgboost.html.mdRegistered: Wed Nov 05 06:36:42 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 9.2K bytes - Viewed (0) -
batch-delete.html.md
# Batch delete Options for batch deleting documents: 1. Use [vespa feed](../vespa-cli.html#documents): ``` $ vespa feed -t my-endpoint deletes.json ``` 2. Find documents using a query, delete, repe...docs.vespa.ai/en/operations/batch-delete.html.mdRegistered: Wed Nov 05 06:35:57 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 4.5K 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/query-api.html.mdRegistered: Wed Nov 05 06:36:00 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 35.9K bytes - Viewed (0) -
features.html.md
# Features ## What is Vespa? Vespa is a platform for applications which need low-latency computation over large data sets. It allows you to write and persist any amount of data, and execute high vo...docs.vespa.ai/en/features.html.mdRegistered: Wed Nov 05 06:35:34 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 7.9K bytes - Viewed (0) -
FastAPI
fastapi.tiangolo.com/vi/Registered: Wed Nov 05 06:35:16 UTC 2025 - 147.8K bytes - Viewed (0) -
A tensor formalism for computer science
A tensor formalism for computer science Jon Bratseth bratseth@verizonmedia.com Verizon Media Trondheim, Norway Håvard Pettersen havard.pettersen@verizonmedia.com Verizon Media Trondheim, Norway Les...docs.vespa.ai/en/a_tensor_formalism_for_computer_science.pdfRegistered: Wed Nov 05 06:37:46 UTC 2025 - Last Modified: Tue Nov 04 13:00:40 UTC 2025 - 567.1K bytes - Viewed (0)