wehub-resource-sync
24 lines
2.0 KiB
Markdown
24 lines
2.0 KiB
Markdown
# Vertex AI Search
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This directory contains notebooks and resources for Vertex AI Search.
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## Notebooks
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- [Create a Vertex AI Datastore and Search Engine](create_datastore_and_search.ipynb): 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.
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- [Querying Blended Data Apps and Summarization with Gemini](search_data_blending_with_gemini_summarization.ipynb): Learn how to call a search app with mixed datastore, get search snippets and summarize the response using Gemini.
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- [Vertex AI Search with Filters & Metadata](search_filters_metadata.ipynb): Learn how to use filters and metadata in search requests to Vertex AI Search.
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## Samples
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- [Gemini Enterprise](gemini-enterprise/): Learn how to use Gemini Enterprise with Vertex AI Search.
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- [Bulk Question Answering](bulk-question-answering/): Learn how to perform bulk question answering with Vertex AI Search.
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- [Cloud Function](cloud-function/): Learn how to access Vertex AI Search via Google Cloud Functions.
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- [Custom Embeddings](custom-embeddings/): Learn how to use custom embeddings with Vertex AI Search.
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- [Custom Ranking](custom-ranking/): Learn how to use custom ranking with Vertex AI Search.
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- [Ranking API](ranking-api/): Learn how to use the Ranking API with Vertex AI Search.
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- [Retrieval-Augmented Generation](retrieval-augmented-generation/): Learn how to use Google Cloud Vertex AI Search, PaLM and LangChain for Retrieval Augmented Generation.
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- [Tuning](tuning/): Learn how to tune Vertex AI Search.
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- [VAIS Building Blocks](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.
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- [Vertex AI Search Options](vertexai-search-options/): Learn about the different options available for Vertex AI Search.
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- [Web App](web-app/): A demo that illustrates how to search through a corpus of documents using Vertex AI Search.
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