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Vector Databases and Semantic Search Implementation

Chapter 1: Embeddings and Vector Spaces

From Data to Vectors: A Refresher

Survey of Embedding Models

Understanding Vector Dimensionality

Introduction to Dimensionality Reduction

Measuring Similarity in Vector Space

Hands-on Practical: Generating and Comparing Embeddings

Quiz for Chapter 1

Chapter 2: Introducing Vector Databases

What Defines a Vector Database?

Core Architectural Components

Data Models and Schemas

Vector Operations: CRUD

Metadata Filtering

Scaling Considerations

Hands-on Practical: Basic Vector DB Interaction

Quiz for Chapter 2

Chapter 3: Approximate Nearest Neighbor (ANN) Search

The Need for Approximation

Core Concepts of ANN

Algorithm Overview: HNSW

Algorithm Overview: IVF

Algorithm Overview: LSH

Indexing Parameters and Tuning

Evaluating ANN Performance

Hands-on Practical: Experimenting with Index Parameters

Quiz for Chapter 3

Chapter 4: Building Semantic Search Systems

Semantic vs. Keyword Search Revisited

Architecture of a Semantic Search Pipeline

Data Preparation and Chunking Strategies

Query Processing and Embedding

Result Ranking and Re-ranking

Implementing Hybrid Search

Evaluating Semantic Search Relevance

Hands-on Practical: Designing a Search Query Flow

Quiz for Chapter 4

Chapter 5: Vector Databases in Practice

Choosing a Vector Database Platform

Working with Pinecone Client

Working with Weaviate Client

Working with Milvus Client

Working with ChromaDB Client

Indexing Large Datasets Efficiently

Monitoring and Maintenance

Hands-on Practical: Build a Small Semantic Search App

Quiz for Chapter 5

Quiz
Beta

Chapter: Vector Databases in Practice

Test your understanding and practice the concepts from this chapter

Quiz Instructions

This quiz contains 14 questions to help you practice.
You need to score at least 70% to pass.
Attempts: Unlimited.
Your highest score will be kept.
Please attempt this quiz without assistance; however, feel free to refer to the chapter notes or use a code interpreter if needed.
This assessment is for your learning and understanding, It is not formally accredited (yet).

Question Format

The questions are designed to be engaging, focusing on understanding, application, and interpretation rather than rote memorization. Expect scenario-based problems that test your ability to apply what you've learned.

Attempts

Best scores and quiz attempts will appear.

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