Create a Vertex AI Datastore and Search Engine: Learn how to create and populate a Vertex AI Search Datastore, create a search app connected to that datastore, and submit queries through the search engine.
Querying Blended Data Apps and Summarization with Gemini: Learn how to call a search app with mixed datastore, get search snippets and summarize the response using Gemini.
Vertex AI Search with Filters & Metadata: Learn how to use filters and metadata in search requests to Vertex AI Search.

Samples

Gemini Enterprise: Learn how to use Gemini Enterprise with Vertex AI Search.
Bulk Question Answering: Learn how to perform bulk question answering with Vertex AI Search.
Cloud Function: Learn how to access Vertex AI Search via Google Cloud Functions.
Custom Embeddings: Learn how to use custom embeddings with Vertex AI Search.
Custom Ranking: Learn how to use custom ranking with Vertex AI Search.
Ranking API: Learn how to use the Ranking API with Vertex AI Search.
Retrieval-Augmented Generation: Learn how to use Google Cloud Vertex AI Search, PaLM and LangChain for Retrieval Augmented Generation.
Tuning: Learn how to tune Vertex AI Search.
VAIS Building Blocks: A collection of notebooks that demonstrate how different functionalities within Vertex AI Search can be used as building blocks to achieve higher-level goals.
Vertex AI Search Options: Learn about the different options available for Vertex AI Search.
Web App: A demo that illustrates how to search through a corpus of documents using Vertex AI Search.