WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
WeAreDevelopers LIVE • Nov 17, 2023

Develop AI-powered Applications with OpenAI Embeddings and Azure Search

Rainer Stropek

Stop splitting text by arbitrary character counts. Master the RAG pattern using OpenAI embeddings and Azure Search. Build fast, context-aware AI applications that cite their own sources.

Pause
Mute Enter Fullscreen
#1 about 3 min

Understanding embedding vectors and multi-dimensional spaces

Analogies of personality traits illustrate how text is converted into multi-dimensional numerical values representing meaning.

#2 about 3 min

Generating embeddings using the OpenAI API

Calling the embeddings endpoint via Microsoft Azure facilitates adherence to European GDPR requirements while processing data.

#3 about 5 min

Comparing vectors with cosine similarity and dot products

Calculating the dot product of normalized vectors determines the semantic similarity between different texts.

#4 about 5 min

Overview of the OpenAI API and state management

Building targeted frontend applications requires passing complete chat histories or utilizing newer thread APIs for state management.

#5 about 3 min

Understanding the core retrieval augmented generation pattern

Injecting current private facts into model prompts enables accurate answers without retraining the underlying language model.

#6 about 4 min

Defining the use case for a custom search assistant

Searching a complex institutional wiki requires a customized extraction and ingestion pipeline built with cross-platform frameworks.

#7 about 6 min

Extracting and preprocessing HTML data into markdown files

Custom crawlers navigate institutional databases to strip formatting elements and parse raw internet pages into clean markdown files.

#8 about 3 min

Splitting large texts into token-limited chunks for embeddings

Breaking documents into smaller pieces ensures text inputs remain below API limits during the embedding generation process.

#9 about 6 min

Storing calculated embeddings in Azure Cognitive Search

Writing pre-calculated embedding vectors into specialized databases optimizes retrieval speed during live semantic searches.

#10 about 5 min

Implementing query flows with vector searches and completions

Triggering nearest neighbor searches provides relevant document fragments which are streamed back directly as engineered prompts.

#11 about 5 min

Demonstrating the working console application and localized responses

Running the complete system via command-line effectively retrieves knowledge source materials and answers nuanced regional protocol questions.

#12 about 3 min

Addressing embedding calculations and model hallucination risks

Retaining source links in graphical interfaces helps users verify AI-generated answers and mitigate factual discrepancies.

#13 about 11 min

Navigating ethical development and selecting integration frameworks

Implementing content filters and tracking framework updates helps developers manage inevitable behavioral biases in rapid deployment cycles.

Matching moments

1:44 min

Understanding basic retrieval-augmented generation architectures in chatbots

Stan Girard Stan Girard · WWC 2024

3:49 min

Implementing text chunking and retrieval augmented generation

Damir Damir · WWC 2025

1:24 min

Expanding AI capabilities using retrieval-augmented generation

Cedric Clyburn Cedric Clyburn · WWC 2024

1:28 min

Reviewing the basic retrieval-augmented generation pipeline

Carl Lapierre Carl Lapierre · WWC 2024

1:37 min

Exploring common use cases for modern generative AI

Sandra Ahlgrimm Sandra Ahlgrimm +1 · WWC 2024

3:37 min

Demonstrating semantic latency reductions using Spring AI configurations

More from WeAreDevelopers LIVE

Aliens in Quarantine, Python Deprecates Loops, and AI Buys Old Books - Zbyszek Tenerowicz thumbnail
5:43
5 days ago

Aliens in Quarantine, Python Deprecates Loops, and AI Buys Old Books - Zbyszek Tenerowicz

Chris Heilmann, Daniel Cranney

WeAreDevelopers LIVE - Node and Package Security thumbnail
1:08:30
5 days ago

WeAreDevelopers LIVE - Node and Package Security

Chris Heilmann, Daniel Cranney, Zbyszek Tenerowicz

WeAreDevelopers LIVE - Streaming HTML thumbnail
1:10:26
12 days ago

WeAreDevelopers LIVE - Streaming HTML

Chris Heilmann, Daniel Cranney, Jad Joubran

WeAreDevelopers LIVE - CODE100 at WeAreDevelopers Europe thumbnail
1:02:34
19 days ago

WeAreDevelopers LIVE - CODE100 at WeAreDevelopers Europe

Chris Heilmann, Daniel Cranney, Justin Halsall, Werner Jeschko, Nicole Jeschko, Mirco Tomić

WeAreDevelopers LIVE - Web Performance in an AI World thumbnail
1:07:59
26 days ago

WeAreDevelopers LIVE - Web Performance in an AI World

Chris Heilmann, Daniel Cranney

FIFA Hack, Midjourney Does Ultrasounds, and Trampoline Traffic Lights - Nicole Jeschko and Werner Jeschko thumbnail
5:55
about 2 months ago

FIFA Hack, Midjourney Does Ultrasounds, and Trampoline Traffic Lights - Nicole Jeschko and Werner Jeschko

Chris Heilmann, Daniel Cranney

Upcoming sessions on this topic

Open session

World Congress 2026 North America

Building Stuff with GenAI - The Open Minded Workshop beyond OpenAI

Andreas Erben

CTO for Applied AI and Metaverse at daenet

Andreas Erben
Open session

World Congress 2026 North America

From Software Agents to Physical Devices: Inside the Agentic Hardware Stack

Vivian Hu, Michael Yuan

Vivian Hu
Michael Yuan
Open session

World Congress 2026 North America

Ship 10x Faster: AI-Powered Development with Claude Code and MCP Tools

Viktoria Semaan

Principal Technical Evangelist at Databricks

Viktoria Semaan
Open session

World Congress 2026 North America

AI Agents are Only as Smart as their Context: Building a Real-Time Context Engine at Intuit

Bharat Patel

Lead Software Engineer at Intuit

Bharat Patel
Open session

World Congress 2026 North America

The Things Your AI Isn't Telling You

Desmond Lamptey

Lead Software Engineer @ Capital One

Desmond Lamptey
Open session

World Congress 2026 North America

Beyond Vibe Coding: Using CLI Tools as Your AI Counterpart in Pair Programming

Ron Veen

Java enthusiast and Special agent for Team Rockstars IT

Ron Veen

Related videos

How to Decipher User Uncertainty with GenAI and Vector Search thumbnail
24:47
WWC 2025 • 12 months ago

How to Decipher User Uncertainty with GenAI and Vector Search

Ben Greenberg

Build RAG from Scratch thumbnail
28:04
WWC 2024 • almost 2 years ago

Build RAG from Scratch

philnash

Best practices: Building Enterprise Applications that leverage GenAI thumbnail
24:24
WWC 2025 • 12 months ago

Best practices: Building Enterprise Applications that leverage GenAI

Damir

Semantic AI: Why Embeddings Might Matter More Than LLMs thumbnail
26:05
WWC 2025 • 12 months ago

Semantic AI: Why Embeddings Might Matter More Than LLMs

Christian Weyer

Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps thumbnail
28:57
WWC 2024 • almost 2 years ago

Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps

David Leconte, Michel de Ru

Enter the Brave New World of GenAI with Vector Search thumbnail
1:00:56
LIVE • over 2 years ago

Enter the Brave New World of GenAI with Vector Search

Mary Grygleski

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.