Files
model_garden/notebooks/official/vector_search

Using Vertex AI Multimodal Embeddings and Vector Search

Learn how to encode custom text embeddings, create an  Approximate Nearest Neighbor  index, and query against indexes.

The steps performed include:

* Convert an image dataset to embeddings
* Create an index
* Upload embeddings to the index
* Create an index endpoint
* Deploy the index to the index endpoint
* Perform an online query

Using Vertex AI Vector Search for StackOverflow Questions

Learn how to encode custom text embeddings, create an Approximate Nearest Neighbor  index, and query against indexes.

The steps performed include:

* Create ANN index
* Create an index endpoint with VPC Network
* Deploy ANN index
* Perform online query

   Learn more about Vertex AI Vector Search.

Using Vertex AI Vector Search and Vertex AI Embeddings for Text for StackOverflow Questions

Learn how to encode text embeddings, create an Approximate Nearest Neighbor  index, and query against indexes.

The steps performed include:

* Convert a BigQuery dataset to embeddings
* Create an index
* Upload embeddings to the index
* Create an index endpoint
* Deploy the index to the index endpoint
* Perform an online query

   Learn more about Vertex AI Vector Search.

   Learn more about Vertex AI Embeddings for Text.

Using Vertex AI Vector Search for Text-to-Image Embeddings

Learn how to encode custom text embeddings, create an  Approximate Nearest Neighbor  index, and query against indexes.

The steps performed include:

* Create ANN index
* Create an index endpoint with VPC Network
* Deploy ANN index
* Perform online query

   Learn more about Vertex AI Vector Search.

Using Vertex AI Vector Search for Text-to-Image Embeddings

Learn how to encode custom text embeddings, create an  Approximate Nearest Neighbor  index, and query against indexes.

The steps performed include:

* Create ANN index
* Create an index endpoint with VPC Network
* Deploy ANN index
* Perform online query

   Learn more about Vertex AI Vector Search.

Create Vertex AI Vector Search index

Learn how to create Approximate Nearest Neighbor  Index, query against indexes, and validate the performance of the index.

The steps performed include:

* Create ANN Index and Brute Force Index
* Create an IndexEndpoint with VPC Network
* Deploy ANN Index and Brute Force Index
* Perform online query
* Compute recall

   Learn more about Vertex AI Vector Search.