AI_PYTHON Telegram 17277
@ai_python

https://cloud.google.com/bigquery/docs/vector-index-text-search-tutorial

Perform semantic search and retrieval-augmented generation

👉 This tutorial guides you through the end-to-end process of creating and using text embeddings, including using vector indexes to improve search performance.

This tutorial covers the following tasks:

🖥 Creating a BigQuery ML remote model over a Vertex AI embedding model.

🖥 Using the remote model with the ML.GENERATE_EMBEDDING function to generate embeddings from text in a BigQuery table.

🖥 Creating a vector index to index the embeddings.

🖥 Using the VECTOR_SEARCH function with the embeddings to search for similar text.

🖥 Perform retrieval-augmented generation (RAG) by generating text with the ML.GENERATE_TEXT function, and using vector search results to augment the prompt input and improve results.

This tutorial uses the BigQuery public table patents-public-data.google_patents_research.publications.
Please open Telegram to view this post
VIEW IN TELEGRAM
❤‍🔥1



tgoop.com/ai_python/17277
Create:
Last Update:

@ai_python

https://cloud.google.com/bigquery/docs/vector-index-text-search-tutorial

Perform semantic search and retrieval-augmented generation

👉 This tutorial guides you through the end-to-end process of creating and using text embeddings, including using vector indexes to improve search performance.

This tutorial covers the following tasks:

🖥 Creating a BigQuery ML remote model over a Vertex AI embedding model.

🖥 Using the remote model with the ML.GENERATE_EMBEDDING function to generate embeddings from text in a BigQuery table.

🖥 Creating a vector index to index the embeddings.

🖥 Using the VECTOR_SEARCH function with the embeddings to search for similar text.

🖥 Perform retrieval-augmented generation (RAG) by generating text with the ML.GENERATE_TEXT function, and using vector search results to augment the prompt input and improve results.

This tutorial uses the BigQuery public table patents-public-data.google_patents_research.publications.

BY DLeX: AI Python




Share with your friend now:
tgoop.com/ai_python/17277

View MORE
Open in Telegram


Telegram News

Date: |

Although some crypto traders have moved toward screaming as a coping mechanism, several mental health experts call this therapy a pseudoscience. The crypto community finds its way to engage in one or the other way and share its feelings with other fellow members. Co-founder of NFT renting protocol Rentable World emiliano.eth shared the group Tuesday morning on Twitter, calling out the "degenerate" community, or crypto obsessives that engage in high-risk trading. Developing social channels based on exchanging a single message isn’t exactly new, of course. Back in 2014, the “Yo” app was launched with the sole purpose of enabling users to send each other the greeting “Yo.” Each account can create up to 10 public channels Polls
from us


Telegram DLeX: AI Python
FROM American