Vector Search with Azure Cosmos DB, Azure Cognitive Search, and Azure OpenAI

preview_player
Показать описание
Generate vectors/embeddings for open-source baseball player data with Azure OpenAI, and make this data vector-searchable in the Cosmos DB vCore API, and Azure Cognitive Services via indexing the Cosmos DB NoSQL API. Find similar baseball players based on their extensive statistics.

Follow us on social:

#azuredeveloper #azure
  1. Microsoft Azure Developers
  2. Azure
  3. Functions
  4. Serverless
  5. Computing
  6. azure app service
Рекомендации по теме
Vector Search with 0:31:46

Vector Search with Azure Cosmos DB, Azure Cognitive Search, and Azure OpenAI

Build AI-powered apps 0:43:07

Build AI-powered apps with Azure Cosmos DB for MongoDB vector search - Ep. 93

Empower AI applications 0:02:19

Empower AI applications with Vector Search

Vector Search using 0:16:05

Vector Search using 95% Less Compute | DiskANN with Azure Cosmos DB

AI Semantic Search 0:10:00

AI Semantic Search for Your Website with Azure Cosmos DB | E-commerce

Coffee 26: Vector 0:29:24

Coffee 26: Vector Search with Azure Cosmos DB: Next-generation applications made easy

Applying GenAI and 0:42:42

Applying GenAI and Azure Cosmos DB Vector Search to Interactive Analytics & Reporting

Introducing Vector Search 0:21:36

Introducing Vector Search in Azure Cognitive Search | Azure Friday

Azure Cosmos DB 0:15:10

Azure Cosmos DB as Vector Database

How to design 0:49:34

How to design and build AI applications with vector search using Azure OpenAI & Azure Cosmos DB

Vector , Hybrid, 0:11:12

Vector , Hybrid, Semantic search with Azure AI Search in 11 minutes

Beyond Keywords: Image 0:10:22

Beyond Keywords: Image similarity search in Azure Cosmos DB for PostgreSQL | Python Data Science Day

Build next gen 0:15:30

Build next gen intelligent retail with Azure OpenAI & Azure Cosmos DB

Similarity Search Application 0:11:09

Similarity Search Application utilizing Vector types on vCore-based Azure Cosmos DB for MongoDB

Open AI Embeddings 0:21:30

Open AI Embeddings in Azure Vector Database of Cognitive Search

Azure AI Search 0:01:50

Azure AI Search Vs Azure Cosmos DB Vector Search #shorts #azureai #azurecosmosdb

Vector Search Isn’t 0:44:21

Vector Search Isn’t Enough | BRKFP301H

Building a vector 0:55:16

Building a vector similarity search app with Azure AI Vision and PostgreSQL - Oct 2023

Beginner's Guide: Transferring 0:08:46

Beginner's Guide: Transferring Data From Azure Cosmos Db To Azure Ai Search

Vector Search in 0:11:56

Vector Search in Azure Cognitive Search using Langchain | azure openai | embeddings | openai | llms

Vector Similarity Search 0:57:31

Vector Similarity Search in Azure Cosmos DB for PostgreSQL with pgvector & Azure AI Vision

Build AI Solutions 0:56:58

Build AI Solutions with Azure Cosmos DB: A Hands-on Session - March 2024

Improving LLM responses 0:46:12

Improving LLM responses through Azure Cognitive Search Vector Search

Azure Cosmos DB 0:37:16

Azure Cosmos DB NoSQL and OpenAI: Building Robust Applications with RAG pattern

Комментарии
Автор

The interview feels way too drawn out, one might as well browse the slides

jsonbourne
Автор

im not American, neither have any idea what is going on there, but got 2 objections

1) why did you put (she/her) on the lady's name? was it really needed?
2) why no implementations on the video? just reading from the slides. seriously you are Microsoft, earning tons from Azure and can probably do way better..

emrahe