WeAreDevelopers LIVE • Aug 27, 2025

WeAreDevelopers LIVE - Vector Similarity Search Patterns for Efficiency and more

Chris Heilmann , Daniel Cranney , Raphael De Lio , Advocate At Redis

Stop flooding LLMs with redundant data. Leverage vector similarity search for semantic routing and caching to drastically reduce token costs while slashing processing times.

WeAreDevelopers LIVE - Vector Similarity Search Patterns for Efficiency and more thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

3:37 min

Demonstrating semantic latency reductions using Spring AI configurations

2:01 min

Semantic similarity and vector database search mechanics

Tomislav Tipurić Tomislav Tipurić · World Congress 2025

1:48 min

Reusing language model responses through semantic database caching

3:13 min

Using semantic caching and pre-generated audio

Nathaniel Okenwa Nathaniel Okenwa · World Congress 2024

1:39 min

Enabling semantic search with automated query vectorization

Iulia Feroli Iulia Feroli · LIVE

2:38 min

Enabling contextual responses with retrieval-augmented generation and vector databases

David Leconte David Leconte +1 · World Congress 2024

Upcoming sessions on this topic

Open session

Building a Semantic Cache for Agentic AI: Practical workshop on reducing cost & latency

  • Bhavana Giri

    Redis

    Developer Advocate

Open session

Bypassing the GPU Tax: Smart Layer-7 Routing with Small Language Models (SLMs)

  • Sagar Utekar

    CrowdStrike

    SRE

Open session

Enterprise AI Memory at Scale

  • Aditya Joshi

    Walmart

    Senior Software Engineer

Open session

Decision models for developers who use LLMs

  • Anurag Bhandari

    antelligent

    CTO

Open session

Build a Zero-Cost AI Agent in Your Browser

  • Aishwarya Mathuria

    Adobe

    Computer Scientist

  • Nishant Thakur

    Adobe

    Senior Computer Scientist

Open session

Engineering AI Strategy: Beyond the Hype

  • Omkar Srivastava

    ADSK

    Engineering Leader