Offline vector search with SQLite and EmbeddingGemma @ChromeDevs
Offline vector search with SQLite and EmbeddingGemma  @ChromeDevs
Uploaded November 2025 | Updated September 2026, 2 weeks ago
Learn from Rody Davis, Senior Developer Relations Engineer at Google, how to query and embed documents using SQLite and embeddings with EmbeddingGemma and Gemma3. Create an offline RAG system that runs in the browser offline.

Resources:
Github → https://goo.gle/4p2b3b1

See more Web AI talks → https://goo.gle/web-ai
Subscribe to Chrome for Developers → https://goo.gle/ChromeDevs


Event: Web AI Summit 2025

Speaker: Rody Davis
Products Mentioned: AI for the web, Gemma 3

#ChromeforDevelopers #WebAI
Offline vector search with SQLite and EmbeddingGemmaWhat is AI? #WebAIActing rapidly on your feedbackMediaPipe Web: Bringing cross-platform AI tech to the browserWhats new in Web UIWhat’s new in DevTools: Chrome 124-126Debug LCP #DevToolsAIPreparing for Chrome’s third-party cookie changesDart, Flutter, and WasmGC with Ömer Ağacan and Martin KustermannAlign and test your LLM judgeAutomate building Chrome Extensions with Antigravity and DevTools MCP (I/O Connect ‘26)Top 3 premium web experiences updates from Google I/O 2026
Chrome for Developers |

Offline vector search with SQLite and EmbeddingGemma

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER