Topic

embeddings

Activities

2

tagged

Activity Trend

4 peak/qtr

2020-Q1 2026-Q1

Top Events

Google Cloud Next '25 2 Event-driven architecture for AI with SurrealDB 1 BLISS x Neo4j: Powering GenAI with Knowledge Graphs 1 Build Your Own CLI Chatbot with RAG Support — An All-Code, No-Slides Session 1 Agentic AI Workshop | New York City 1 AI Agents from Scratch: A Beginner's LLM Workshop 1 AI Agent Meetup Berlin: Context Engineering 1 Data Science Retreat Demo Day #41 1 AI Agents from Scratch: A Beginner's LLM Workshop 1 Session #9: Google AI Seminar (Virtual) 1 10 PyData Piraeus Meetup: LLMs with Knowledge Graphs and Information Retrieval 1 (Virtual EMEA) Do you really need a Vector Search Database? 1

Top Speakers

Piotr Przybył (Elastic) 1 Roya Kandalan (Aware, Inc.) 1 Lazar Obradovic (Cognee) 1 Shilpa Kancharla (Google) 1 Maddie Shang (OpenMined) 1 Konstantinos Eftaxias (Orfium) 1 Alexey Grigorev (DataTalks.Club) 1

Activities

Showing filtered results

All Video Podcast Book

Filtering by: Google Cloud Next '25 ×

Build reliable RAG pipelines

· Google Cloud Next '25

demo

RAG product-embeddings product-function-calling product-vertex-ai-rag-engine

Build smart context systems with retrieval-augmented generation (RAG) pipelines, vector embeddings, or built-in search capabilities.

Shopper’s Concierge: Tailor your shopping experience with an AI concierge agent

· Google Cloud Next '25

demo

AI/ML product-agent-kit product-embeddings product-gemini-20-live-api product-vector-search

Experience how AI agents can revolutionize shopping by understanding your personal style, tastes, and preferences to anticipate your needs and offer tailored recommendations – your personal shopping concierge will find exactly what you need in real time.