Compare commits

...
Author SHA1 Message Date
ivanmkc@google.com d5f3065320 Fixed incorrect text 2023-05-12 18:52:23 -04:00
@@ -30,7 +30,7 @@
"id": "JAPoU8Sm5E6e"
},
"source": [
"# Using Vertex AI Matching Engine for StackOverflow Questions\n",
"# Using Vertex AI Matching Engine and Vertex AI Embeddings for Text for StackOverflow Questions \n",
"![ ](https://www.google-analytics.com/collect?v=2&tid=G-L6X3ECH596&cid=1&en=page_view&sid=1&dt=sdk_matching_engine_create_stack_overflow_embeddings_vertex.ipynb&dl=notebooks%2Fofficial%2Fmatching_engine%2Fsdk_matching_engine_create_stack_overflow_embeddings_vertex.ipynb)\n",
"<table align=\"left\">\n",
" <td>\n",
@@ -62,9 +62,9 @@
"source": [
"## Overview\n",
"\n",
"This example demonstrates how to encode custom text embeddings using the StackOverflow dataset and the sentence-T5 model. These are uploaded to the Vertex AI Matching Engine service, which is a high-scale, low-latency solution, for finding similar vectors from a large corpus. Matching Engine is a fully managed offering, further reducing operational overhead. It is built upon [Approximate Nearest Neighbor (ANN) technology](https://ai.googleblog.com/2020/07/announcing-scann-efficient-vector.html) developed by Google Research.\n",
"This example demonstrates how to encode text embeddings using the Vertex AI Embeddings for Text service and the StackOverflow dataset. These are uploaded to the Vertex AI Matching Engine service, which is a high-scale, low-latency solution, for finding similar vectors from a large corpus. Matching Engine is a fully managed offering, further reducing operational overhead. It is built upon [Approximate Nearest Neighbor (ANN) technology](https://ai.googleblog.com/2020/07/announcing-scann-efficient-vector.html) developed by Google Research.\n",
"\n",
"Learn more about [Vertex AI Matching Engine](https://cloud.google.com/vertex-ai/docs/matching-engine/overview)."
"Learn more about [Vertex AI Matching Engine](https://cloud.google.com/vertex-ai/docs/matching-engine/overview) and [Vertex AI Embeddings for Text](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings)."
]
},
{
@@ -81,6 +81,7 @@
"This tutorial uses the following Google Cloud ML services:\n",
"\n",
"- `Vertex AI Matching Engine`\n",
"- `Vertex AI Embeddings for Text`\n",
"\n",
"The steps performed include:\n",
"\n",