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WeAreDevelopers LIVE • Jan 19, 2024

Enter the Brave New World of GenAI with Vector Search

Mary Grygleski

Why do traditional databases fail modern context-aware AI? Discover how Java developers can leverage vector search and the RAG pattern to eliminate GenAI hallucinations.

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#1 about 3 min

Introduction to generative AI and vector search

A brief overview guiding developers into the foundational concepts of generative AI.

#2 about 4 min

Historical timeline of artificial intelligence development

A walk through computing history from the earliest mechanical automata to modern chess-playing machines.

#3 about 3 min

Distinguishing between AI, machine learning, and deep learning

How the overlapping layers of artificial intelligence build upon neural networks and automated pattern recognition.

#4 about 5 min

How generative models disrupt traditional machine interaction

The shift from structured command-line inputs to natural language prompts in creative AI applications.

#5 about 3 min

Historical breakthroughs in natural language processing models

The progression from early feedforward networks to Word2Vec and the foundational Transformer architecture.

#6 about 6 min

Exploring popular generative AI models and applications

An overview of text, image, code, and audio models like GPT-4, Stable Diffusion, and GitHub Copilot.

#7 about 3 min

Essential engineering roles in the generative AI space

How software developers, data scientists, and MLOps engineers collaborate to build AI solutions.

#8 about 6 min

Defining GPT architectures and natural language processing tasks

How pre-trained transformers and linguistic subfields enable machines to understand contextual language nuances.

#9 about 3 min

Resource demands and foundational tasks of large language models

The compute requirements for training LLMs and their role in generating and classifying complex text blocks.

#10 about 3 min

Utilizing Java frameworks to interface with AI models

An introduction to Java-based tools like LangChain4j, Jlama, and JVector for building AI applications.

#11 about 4 min

Storing machine learning data with specialized vector databases

Why complex AI data needs purpose-built databases for feature engineering rather than standard scalar storage.

#12 about 4 min

Understanding numerical representations of vector embeddings

How textual data is converted into floating-point coordinates across high-dimensional spaces to represent semantic proximity.

#13 about 3 min

Accelerating similarity searches with specialized retrieval algorithms

A look into how hierarchical algorithms like HNSW and DiskANN rapidly navigate vector databases.

#14 about 3 min

Common application scenarios leveraging vector similarity matching

Practical ways to utilize vector embeddings for clustering, anomaly detection, recommendations, and text classification.

#15 about 3 min

Enhancing language models with retrieval-augmented generation

Overcoming the knowledge cutoffs of LLMs by injecting real-time stateful data during context retrieval.

#16 about 9 min

Setting up a managed vector database with Astra DB

A walkthrough demonstrating how to create, configure, and query a free serverless vector database environment.

#17 about 2 min

Mitigating the inherent challenges of generative AI tools

A review of AI risks like hallucinations, ethical data usage constraints, and temporal knowledge limits.

#18 about 4 min

Providing Q&A insights on model-specific vector embeddings

Wrapping up the session with educational resources and answering a specific question about model-specific embeddings.

Matching moments

1:24 min

Expanding AI capabilities using retrieval-augmented generation

Cedric Clyburn Cedric Clyburn · World Congress 2024

2:08 min

Navigating the components of the modern generative AI stack

Julián Duque Julián Duque · World Congress 2025

3:46 min

Substituting traditional classification models with search-based AI architecture

Erik Bamberg · LIVE

1:36 min

Understanding vector databases and retrieval-augmented generation pipelines

Sandra Ahlgrimm Sandra Ahlgrimm +1 · World Congress 2024

3:36 min

Overview of generative AI and the presentation agenda

juarezjunior juarezjunior · World Congress 2024

2:04 min

Exploring breakthroughs in large generalist machine learning models

Toju Duke · World Congress 2022

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