From 8bf337baf2513093938662dae0c80f52e51cdb29 Mon Sep 17 00:00:00 2001 From: Kristian Aune Date: Wed, 27 Nov 2024 16:14:46 +0100 Subject: [PATCH 1/2] Add sample application pointers --- README.md | 22 ++++++++++++++++++++++ examples/operations/README.md | 6 +++++- 2 files changed, 27 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ca059b045..aa5c72bf7 100644 --- a/README.md +++ b/README.md @@ -17,6 +17,13 @@ also [PyVespa examples](https://pyvespa.readthedocs.io/en/latest/examples.html). The [album-recommendation](album-recommendation/) is the intro application to Vespa. Learn how to configure the schema for simple recommendation and search use cases. +### Vector Search +There is a growing interest in AI-powered vector representations of unstructured multimodal data +and searching efficiently over these representations. +[vector-search](https://github.com/vespa-cloud/vector-search) +describes how your organization can unlock the full potential of multimodal AI-powered vector representations +using Vespa Cloud - the industry-leading managed Vector Search Service. + ### Simple hybrid semantic search The [simple semantic search](simple-semantic-search/) application demonstrates indexed vector search using `HNSW`, @@ -103,6 +110,21 @@ where Vespa takes care of distributing ML models to multiple serving containers, offering horizontal scaling and safe deployment. Model versioning and feature processing pipeline. +### Vespa Documentation Search +[vespa-documentation-search](https://github.com/vespa-cloud/vespa-documentation-search) +is the search application that powers [search.vespa.ai](https://search.vespa.ai/) - +refer to this for GitHub Actions automation. +This sample app is a good start for [automated deployments](https://cloud.vespa.ai/en/automated-deployments), +as it has system, staging and production test examples. +It uses the [Document API](https://docs.vespa.ai/en/document-api-guide.html) +both for regular PUT operations but also for UPDATE with _create-if-nonexistent_. + +### CORD-19 Search +[cord19.vespa.ai](https://cord19.vespa.ai/) is a full-featured application, +based on the [Covid-19 Open Research Dataset](https://huggingface.co/datasets/allenai/cord19): +* [cord-19](https://github.com/vespa-engine/cord-19): frontend +* [cord-19-search](https://github.com/vespa-cloud/cord-19-search): search backend +