Master Vector Databases

Master Vector Databases, available at $84.99, has an average rating of 4.57, with 43 lectures, based on 102 reviews, and has 974 subscribers.

You will learn about Master Vector Database, Embeddings, ChromaDB, FAISS, Qdrant and much more Learn integration Vector databases with LangChain, Open AI Master Embeddings Transformer Models for vector embedding, Generative AI, Open AI API Usage Understand the fundamentals of vector databases and their role in AI, generative AI, and LLM (Language Model Models). Implement code along exercises to build and optimize vector indexing systems for real-world applications. This course is ideal for individuals who are Anyone who want to explore the world of AI or Anyone who want to step into AI world with practical learning or Data engineers, database administrators and data professionals curious about the emerging field of vector databases. or Software developers interested in integrating vector databases into their applications. It is particularly useful for Anyone who want to explore the world of AI or Anyone who want to step into AI world with practical learning or Data engineers, database administrators and data professionals curious about the emerging field of vector databases. or Software developers interested in integrating vector databases into their applications.

Enroll now: Master Vector Databases

Summary

Title: Master Vector Databases

Price: $84.99

Average Rating: 4.57

Number of Lectures: 43

Number of Published Lectures: 43

Number of Curriculum Items: 43

Number of Published Curriculum Objects: 43

Original Price: $64.99

Quality Status: approved

Status: Live

What You Will Learn

Master Vector Database, Embeddings, ChromaDB, FAISS, Qdrant and much more
Learn integration Vector databases with LangChain, Open AI
Master Embeddings
Transformer Models for vector embedding, Generative AI, Open AI API Usage
Understand the fundamentals of vector databases and their role in AI, generative AI, and LLM (Language Model Models).
Implement code along exercises to build and optimize vector indexing systems for real-world applications.

Who Should Attend

Anyone who want to explore the world of AI
Anyone who want to step into AI world with practical learning
Data engineers, database administrators and data professionals curious about the emerging field of vector databases.
Software developers interested in integrating vector databases into their applications.

Target Audiences

Anyone who want to explore the world of AI
Anyone who want to step into AI world with practical learning
Data engineers, database administrators and data professionals curious about the emerging field of vector databases.
Software developers interested in integrating vector databases into their applications.

Are you ready to ride the next wave in the realm of data management?

Introducing our groundbreaking course: Vector Database Mastery. In this comprehensive program, we delve deep into the fascinating world of Vector Databases, equipping you with the skills and knowledge needed to navigate the data landscape of the future.

Why Vector Databases? Traditional databases are evolving, and the next generation is here – Vector Databases. They are not just databases; they are engines of understanding. Harness the power of vectors to represent and comprehend complex data structures, bringing unprecedented efficiency and flexibility to your data management endeavors.

Course Highlights:

Foundations of Vectors: Dive into the basics of vectors, understanding their role as powerful mathematical entities in representing and manipulating data. Uncover the fundamental concepts that form the backbone of Vector Databases.
Embeddings Techniques: Master the art of embeddings – the key to transforming data into a high-dimensional vector space. Explore techniques like Word Embeddings, Doc2Vec, and more, unleashing the potential to encode complex information into compact, meaningful vectors.
SQLite as a Vector Database: Witness the fusion of traditional SQL databases with the dynamic capabilities of vectors. Learn how to leverage SQLite as a Vector Database, enabling you to handle intricate relationships and queries with ease.
ChromaDB: Explore the cutting-edge ChromaDB, a revolutionary Vector Database that takes data representation to a whole new level. Delve into its architecture, functionalities, and real-world applications, paving the way for a new era of data management.
Pinecone DB:Step-by-step walkthrough about creating an index, prepare data, creating embeddings, adding data to index, making queries, queries with metadata filters and much more.
Qdrant Vector Database: Uncover the capabilities of Qdrant, a high-performance, open-source Vector Database designed for scalability and speed. Learn to implement and optimize Qdrant for various use cases, propelling your projects to new heights.
Langchain for QA Applications: Revolutionize question-answering applications using Langchain. Integrate vector-based search techniques into your projects, enhancing the precision and relevance of your results.
OpenAI Embeddings: Harness the power of OpenAI embeddings to elevate your natural language processing projects. Learn to integrate state-of-the-art language models into your applications, pushing the boundaries of what’s possible in text-based data analysis.

Join the Vector Revolution!

Enroll now to future-proof your data management skills. The Vector Database Mastery course is not just a learning experience; it’s your ticket to staying ahead in the rapidly evolving world of data.

Don’t miss out on the next wave – secure your spot today and become a master of Vector Databases!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Vector Database

Lecture 2: Vectors and Embeddings

Lecture 3: Explain vector database like I'm 5

Lecture 4: How vector database store data

Lecture 5: How do vector database works?

Lecture 6: Vectors in 2D

Chapter 2: The power of embeddings

Lecture 1: Create embeddings using OpenAI

Lecture 2: Sentence Embedding Models

Chapter 3: Using SQLite as vector storage

Lecture 1: Setup and basic operations

Lecture 2: Creating, storing and retrieving vector data

Lecture 3: Finding nearest vector

Lecture 4: Vector search using sqlite-vss extension

Chapter 4: ChromaDB

Lecture 1: Introduction to ChromaDB

Lecture 2: Revolutionizing the Data access with Vector Database

Lecture 3: Methods on collections

Lecture 4: Storing "The Matrix" collections

Lecture 5: Adding document associated embeddings

Lecture 6: Query data with 'where' filter

Lecture 7: ChromaDB + Langchain – QA on multiple documents – Part 1

Lecture 8: ChromaDB + Langchain – QA on multiple documents – Part 2

Chapter 5: Facebook AI Similarity Search (FAISS)

Lecture 1: Introduction to FAISS

Lecture 2: Using similarity search for nearest neighbors

Chapter 6: Pinecone

Lecture 1: Introduction to Pinecone

Lecture 2: Setup account, create an index, dashboard review

Lecture 3: Understanding index creation configuration

Lecture 4: Index management

Lecture 5: Insert vector data to an index

Lecture 6: Query vector data

Lecture 7: Upsert vector data in batches

Lecture 8: Upsert batches in parallel

Lecture 9: Upsert with metadata

Lecture 10: Vector IDs must be string

Lecture 11: Sentence transformer embeddings

Lecture 12: Semantic search with metadata filtering – news articles

Chapter 7: Qdrant

Lecture 1: Introduction to Qdrant vector database

Lecture 2: Connect with APIs

Lecture 3: Create a qdrant python client

Lecture 4: Create a collection

Lecture 5: Create a vector store

Lecture 6: Add document to vector store on the cloud

Lecture 7: Query the document

Lecture 8: Create a streamlit QA app

Chapter 8: Congratulations and Thank You!

Lecture 1: Your feedback is very valuable!

Instructors

Adnan Waheed
Founder KlickAnalytics and ex-Bloomberg employee

Rating Distribution

1 stars: 2 votes
2 stars: 1 votes
3 stars: 10 votes
4 stars: 33 votes
5 stars: 56 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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