Udemy - Vespa AI Search Engine and Vector Database with Python

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[ DevCourseWeb.com ] Udemy - Vespa AI Search Engine and Vector Database with Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Vespa Introduction
    • 1 - What is Vespa.mp4 (4.1 MB)
    • 2 - Key Features of Vespa.mp4 (11.4 MB)
    10 - Reconnect with Vespa Application Google Colab Python
    • 25 - Reconnect with Vespa Application using PEM Files.mp4 (26.3 MB)
    • 25 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 25 - vespa-standalone-final-2.py (12.1 KB)
    2 - Vespas Overview and Architecture
    • 3 - Low Level Overview of Vespa.mp4 (7.5 MB)
    • 4 - Architecture of Vespa.mp4 (10.6 MB)
    3 - Vespa Cloud and Tenant
    • 5 - What is Tenant.mp4 (4.9 MB)
    • 6 - Login to Vespa Cloud and Create Tenant.mp4 (6.9 MB)
    • 6 - Vespa AI.txt (0.0 KB)
    • 7 - Vespa Cloud Overview.mp4 (8.0 MB)
    4 - Install and Load Dependencies Google Colab Python
    • 8 - Install pyvespa vespacli datasets.mp4 (47.3 MB)
    • 8 - Notebook.txt (0.1 KB)
    • 8 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 8 - vespa-standalone-final-2.py (12.1 KB)
    • 9 - Load Dependencies.mp4 (8.6 MB)
    • 9 - Notebook.txt (0.1 KB)
    • 9 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 9 - vespa-standalone-final-2.py (12.1 KB)
    5 - Dataset and Convert to Vespas Format Google Colab Python
    • 10 - Introduction to Dataset.mp4 (2.8 MB)
    • 10 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 10 - vespa-standalone-final-2.py (12.1 KB)
    • 11 - Load Dataset.mp4 (27.8 MB)
    • 11 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 11 - vespa-standalone-final-2.py (12.1 KB)
    • 12 - Convert Dataset to Vespas Format.mp4 (10.5 MB)
    • 12 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 12 - vespa-standalone-final-2.py (12.1 KB)
    6 - Application Package and Vespa Cloud Instance Google Colab Python
    • 13 - Create Application Package.mp4 (21.6 MB)
    • 13 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 13 - vespa-standalone-final-2.py (12.1 KB)
    • 14 - Method 1 Create Vespa Cloud Instance using Interactively.mp4 (10.9 MB)
    • 14 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 14 - vespa-standalone-final-2.py (12.1 KB)
    • 15 - Method 2 Create Vespa Cloud Instance using PEM FileAutomatically.mp4 (36.4 MB)
    • 15 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 15 - vespa-standalone-final-2.py (12.1 KB)
    7 - Deployment Feed Data to Vespa Application Google Colab Python
    • 16 - Deployment of Vespa Application.mp4 (56.9 MB)
    • 16 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 16 - vespa-standalone-final-2.py (12.1 KB)
    • 17 - Feed Data to Vespa Application.mp4 (17.6 MB)
    • 17 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 17 - vespa-standalone-final-2.py (12.1 KB)
    • 18 - Display Function to Pretty Display Result as DataFrame.mp4 (30.8 MB)
    • 18 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 18 - vespa-standalone-final-2.py (12.1 KB)
    8 - All Search Options in Vespa Google Colab Python
    • 19 - Plain Keyboard Search.mp4 (33.7 MB)
    • 19 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 19 - vespa-standalone-final-2.py (12.1 KB)
    • 20 - Plain Semantic Search.mp4 (35.0 MB)
    • 20 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 20 - vespa-standalone-final-2.py (12.1 KB)
    • 21 - Hybrid Search with OR Query Operator.mp4 (13.2 MB)
    • 21 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 21 - vespa-standalone-final-2.py (12.1 KB)
    • 22 - Hybrid Search with RANK Query Operator.mp4 (8.9 MB)
    • 22 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 22 - vespa-standalone-final-2.py (12.1 KB)
    • 23 - Hybrid Search with Filter.mp4 (9.2 MB)
    • 23 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 23 - vespa-standalone-final-2.py (12.1 KB)
    9 - Document Operations Google Colab Python
    • 24 - Update Content of Deployed Application.mp4 (64.5 MB)
    • 24 - vespa-standalone-final-2.ipynb (70.9 KB)
    • 24 - vespa-standalone-final-2.py (12.1 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Vespa AI Search Engine and Vector Database with Python

https://DevCourseWeb.com

Published 8/2024
Duration: 1h22m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 516 MB
Genre: eLearning | Language: English

Build search engines and vector databases with Vespa AI. Master Python integration, data processing, and ML techniques.

What you'll learn
Understand Vespa AI: Learn the fundamentals of Vespa AI to build and deploy powerful search engines and vector databases effectively.
Build Search Applications: Create advanced search applications with Vespa AI using Python, focusing on real-time data processing and retrieval.
Develop Vector Databases: Learn to develop, deploy, and manage vector databases with Vespa AI, enhancing search with machine learning models.
Integrate Vespa AI with Python: Gain practical skills to integrate Vespa AI into Python projects, from deploying applications to scaling for real-world use case

Requirements
Prerequisites: Basic knowledge of Python programming and familiarity with Google Colab are required to follow along with the course exercises and examples.



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Udemy - Vespa AI Search Engine and Vector Database with Python

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516.7 MB
seeders:4
leechers:9
Udemy - Vespa AI Search Engine and Vector Database with Python

Torrent hash: 4F229878064278445626481C10EE180E292D8043