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genai-on-vertex-ai/vertex_ai_search/README.md

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 # What is Vertex AI Search?
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 Vertex AI Search (VAIS) is a fully-managed platform, powered by large language models, that lets you build AI-enabled search and recommendation experiences for your public or private websites or mobile applications
 
 VAIS can handle a diverse set of data sources including structured, unstructured, and website data, as well as data from third-party applications such as Jira, Salesforce, and Confluence.
 
 VAIS also has built-in integration with LLMs which enables you to provide answers to complex questions, grounded in your data
 
 # Sample Notebooks
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 This folder contains a series of notebooks to demonstrate how different functionalities within Vertex AI Search can be used
 
 We aim to keep these notebooks broader than a single API call and smaller than a fully fledged application.
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 We will try to use REST APIs which will hopefully make the codes easier to understand without a need to read through documentations of different object types. For production use, many customer prefer Client libraries. Please consult the [official documentation](https://cloud.google.com/generative-ai-app-builder/docs/apis) for alternative ways of achieving the same goals.
 
 # List of Notebooks
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 1. [Ingestion of Unstructured Documents with Metadata in Vertex AI Search](./ingesting_unstructured_documents_with_metadata.ipynb)
 2. [Parsing and Chunking in Vertex AI Search: Featuring BYO Capabilities](./parsing_and_chunking_with_BYO.ipynb)
 3. [Defining custom attributes based on URL patterns in Vertex AI Search Website Datastores](./custom_attributes_by_url_pattern.ipynb)