 <h1>Congratulations! 🎉 </h1>
    <p style="color:#637381;">All done! You’ve completed another milestone.</p>

To continue, please enter your email for authentication.

We’ve sent a 6‑digit code to #MAIL_ADDRESS#\nPlease check your inbox or spam folder and enter the code below to continue.

Verification code sent

Thank you for the payment. You can now access {collectionName} by simply clicking the button below.

Yes, you’ve successfully ordered! 🎉

Unlock This Exclusive Course

It seems that your email address is not currently on the authorized access list. Please ensure you are using the email address that was invited, or contact the content owner for assistance.

Verification Required for Access

Integrating Semantic Techniques with HNSW Indexes and Metadata Filtering

Background

The Basics of Semantic Search

Understanding Dense and Sparse Vectors

Dense Vectors (Meaning \ Semantic)

Sparse Vectors (Keyword Frequency)

Relationship to Search Methods

Further Central Terms

Embeddings

OpenAI Embeddings Example

Key Characteristics of Embeddings

Process of Digesting Documents into a Vector Database

Types of Embedding Applications

Embedding Models and Training

Document Level Embeddings

Chunking Strategies (Sub Document Level)

From Chunks to Vector Index Integration

Vector Index Integration

Embeddings and Distance Measures

Common Distance Measures for Similarity Comparison of Embeddings

HNSW Indexes: A Deep Dive

Understanding Hierarchical Navigable Small World graphs

How HNSW indexes facilitate efficient similarity search

Implementation considerations and best practices

Overview of HNSW indexes and metadata filtering

Fundamentals of Semantic Search

Definition and principles of Semantic Search

Hybrid Search in Vector Databases

Key Benefits of Hybrid Search

Metadata Filtering in Vector Databases

Challenges of Combining Metadata Filtering with Semantic Search

Implementation Approaches

Example Query Syntax

Quiz Modules

Quiz on Semantic Search Basics

Quiz on Dense and Sparse Vectors

Quiz on Embeddings and Their Applications

Quiz on HNSW Indexes and Their Implementation

Quiz on Challenges of Combining Metadata Filtering with Semantic Search

Combining Metadata Filtering with Semantic Search for RAG

<div class="simple-box-wrapper"><div class="simple-box"><div class="column" flex-size="undefined"><p>The course titled <strong>"Combining Metadata Filtering with Semantic Search for RAG" </strong>is designed to equip developers with foundational knowledge and practical skills in the realm of semantic search and metadata filtering. As the landscape of information retrieval evolves, understanding how to effectively integrate these two powerful techniques becomes essential. This course will delve into the principles of Retrieval-Augmented Generation (RAG) and the role of embeddings, providing participants with a comprehensive overview of how these concepts can enhance search capabilities. By focusing on the integration of semantic techniques with Hierarchical Navigable Small World (HNSW) indexes, learners will gain insights into the mechanics of efficient similarity search and the importance of metadata filtering in refining search results.</p><div class="video-wrapper"><video class="video-player" src="https://player.vimeo.com/progressive_redirect/playback/1060622790/rendition/1080p/file.mp4?loc=external&amp;oauth2_token_id=1782212152&amp;signature=27e473cc7a5d926fc896d4a9278ac22543274f96ad08ad71fc3d380d706b1299&amp;user_id=147821520" aspectratio="16/9" controls="true" controlslist="nodownload">&nbsp;</video></div><a class="simple-button" style="border:1px solid #002E47;color:#002E47;" href="" text="" textcolor="#002E47" type="link" pdfname="" target="_blank" targetvalue="_blank"><iconify-icon class="simple-icon" icon="hugeicons:twitch" iconname="hugeicons:twitch" width="18" height="18">&nbsp;</iconify-icon></a><p>Throughout the course, participants will explore the challenges that arise when combining semantic search with metadata filtering. This exploration will include practical implementation approaches and an analysis of query syntax, ensuring that developers, even those with limited AI experience, can navigate these complexities with confidence. By the end of the course, attendees will not only understand the theoretical underpinnings of these technologies but also be equipped with the tools necessary to apply them in real-world scenarios. The structured modules will guide learners through essential topics, from the basics of semantic search to advanced embedding applications, fostering a robust understanding of how to leverage these techniques for improved search functionality.</p></div></div></div><div class="simple-box-wrapper"><div class="simple-box"><div class="column" flex-size="undefined"><div class="button-wrapper" data-alignment="center" data-sizing="fit"><a class="simple-button" style="border:1px solid #002E47;color:#002E47;" href="" text="" textcolor="#002E47" type="link" pdfname="" target="_blank" targetvalue="_blank"><iconify-icon class="simple-icon" icon="hugeicons:new-twitter" iconname="hugeicons:new-twitter" width="18" height="18">&nbsp;</iconify-icon></a><a class="simple-button" style="border:1px solid #002E47;color:#002E47;" href="" text="" textcolor="#002E47" type="link" pdfname="" target="_blank" targetvalue="_blank"><iconify-icon class="simple-icon" icon="hugeicons:dribbble" iconname="hugeicons:dribbble" width="18" height="18">&nbsp;</iconify-icon></a><a class="simple-button" style="border:1px solid #002E47;color:#002E47;" href="" text="blaa" textcolor="#002E47" type="link" pdfname="" target="_blank" targetvalue="_blank"><iconify-icon class="simple-icon" icon="hugeicons:tiktok" iconname="hugeicons:tiktok" width="18" height="18">&nbsp;</iconify-icon>blaa</a></div></div></div></div><figure class="image"><img src="https://cdn.minicoursegenerator.com/assets/editor/sample-img.jpg"></figure><div class="simple-box-wrapper"><div class="simple-box"><div class="column" flex-size="undefined"><div class="img-wrapper" aspectratio="16/9"><img src="https://cdn.minicoursegenerator.com/assets/editor/sample-img.jpg"></div><h2>Heading</h2><p>I'm a paragraph. Click to start writing to inform, inspire, or encourage your community. Happy editing!</p></div><div class="column" flex-size="undefined"><div class="img-wrapper" aspectratio="16/9"><p>&nbsp;</p></div><p>I'm a paragraph. Click to start writing to inform, inspire, or encourage your community. Happy editing!</p><h2>Heading</h2></div><div class="column" flex-size="undefined"><div class="img-wrapper" aspectratio="16/9"><figure class="image"><img src="https://cdn.minicoursegenerator.com/assets/editor/sample-img.jpg"></figure></div><h2>Heading</h2><p>I'm a paragraph. Click to start writing to inform, inspire, or encourage your community. Happy editing!</p></div></div></div>