Embedding Model Review: Open-Source vs Hosted for RAG
bge-m3, gte, nomic-embed against hosted APIs: multilingual reach, long text, dimension cost, retrieval quality and the index rebuild trap.
Reviews
Reviews after months in production, not after the first demo
What a tool is like once the novelty wears off and the traffic arrives.
A review written on day one tells you whether the install worked. That is the easy part. These posts cover what happened in week six, when an update renamed a config key or a token bill jumped four times in a week.
Each review states how long I ran it, on what traffic, what it cost, and the specific thing that made me keep it or drop it. If I stopped using a tool, the post says so at the top rather than burying it in the verdict.
Start here
AI Code Assistants: Cursor, Claude Code and Copilot in Production
Six months of AI coding assistants on a real .NET and Python codebase: where they genuinely help, where they generate noise, and what they cost.
Reviews
Dify vs Flowise: Which LLM App Builder Survives Production?
Dify and Flowise compared after running both in production — orchestration model, RAG depth, self-hosting cost, API reuse and upgrade risk.
Langfuse Review: Six Months of LLM Tracing in Production
What Langfuse actually did for my LLM pipeline: trace capture, token accounting, online evals and self-hosting reality, including what I regret.
Reviews questions
Do you keep using the tools you review?
Most of them, yes — that is why they are on the site. Anything I dropped is marked as retired in the post instead of being quietly deleted.
How are review units obtained?
Bought with my own money unless the post says otherwise. If a vendor ever provides credits or a plan, that line goes in the first paragraph, not the footer.
Why are there fewer reviews than tutorials?
A review needs a month of runtime before it means anything. Tutorials can be written in a day. The ratio reflects that, not a lack of interest.
Keep going
- Tutorials Reviews stop at the verdict; the build steps live here.
- Comparisons Two candidates, one table, if the choice is still open.