LOADING DATASHEET
LOADING DATASHEET
by Google
RANKED #246 OF 263 ASSISTANTS · OVERALL #380 OF 6,570 · VIBE SCORE 5.0 · 61 VOICES
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
2 mentions
5 mentions
26 weeks · 102 voices
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Closed model. Google hosts it, so you use it through an app or an API.
Not enough discussion about Gemini Embedding 001 yet to call it. We found 61 posts but people did not say much either way.
59 POSTS · 2 COMMENTS · GITHUB · REDDIT · BLOG
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Release: llm-gemini 0.33 It's been a while since the last llm-gemini release. This version of the plugin adds support for today's Gemini 3.7 Flash release, plus gemini-3.6-flash , gemini-3.5-flash-lite and two embedding models gemini-embedding-2 and…
Scaling RAG from MVP to 15M Legal Docs – Cost & Stack Advice
Scaling RAG from MVP to 15M Legal Docs – Cost & Stack Advice
Comment in r/Rag
Running RAG on 512MB RAM: OOM Kills, Deadlocks, Telemetry Bugs and the Fixes
Roo Code 3.23.7 - 3.23.12 Release Notes (Including native windows Claude Code provider support)
Do I need to recreate my Vector DB embeddings after the launch of gemini-embedding-001?
[Gemini API] Getting persistent 429 "Resource Exhausted" even with fresh Google accounts. Did I trigger a hard IP/Device ban by rotating accounts?
Made first personal notes search with RAG
fix: route gemini_cli embeddings through aembedding/:embedContent
fix(model_prices): correct Gemini 2.5 shutdown dates and DeepSeek V4 max output tokens
Codify BGE/Cloudflare Workers AI as a supported RAG pipeline provider (additive — Gemini stays default)