LOADING DATASHEET
LOADING DATASHEET
by Baai
RANKED #155 OF 228 ASSISTANTS · OVERALL #247 OF 6,618 · VIBE SCORE 5.6 · 137 VOICES
Bge M3 available through cloud APIs.
11 mentions
6 mentions
26 weeks · 139 voices
QUIETLY DEGRADING
Recent vibe and chatter are both sliding.
Closed model. Baai hosts it, so you use it through an app or an API.
Not enough discussion about Bge M3 yet to call it. We found 137 posts but people did not say much either way.
123 POSTS · 14 COMMENTS · DEV.TO · GITHUB · DEV FORUMS · REDDIT
Other models the crowd has fully reviewed, starting with text models like this one.
I built an open-source RAG system that actually understands images, tables, and document structure — not just text chunks
Best embedding model for indexing ~17,000 scientific PDFs for a RAG system in 2026?
RAG at scale still underperforming for large policy/legal docs – what actually works in production?
Stop Fine-Tuning Embedding Models Right Away. Run This Checklist First. Saved Me Weeks
Hybrid search (BM25 + vectors + RRF) barely improved over pure semantic on 600 technical docs. What am I missing?
Legal RAG issues
Looking for testers: 100% local RAG system with one-command setup
Graph RAG: anyone actually scaled it past a few thousand docs in production?
Open WebUI RAG at scale still underperforming for large policy/legal docs – what actually works in production?
Fully offline multi-modal RAG for NASA Life Sciences PDFs + images + audio + knowledge graphs – best 2025 local stack?
RAG chatbot using Ollama & langflow. All local, quantized models.
Built a fully-local paper-RAG across 2× 1080 Ti + a 3090. Three Ollama gotchas that each cost me a day.