ReOpenly

ReOpenly is a platform that fine-tunes and hosts embedding models on custom user data for retrieval-augmented generation search tasks.

ReOpenly lets developers fine-tune embedding models on their own search data to improve retrieval-augmented generation results. The platform turns user searches into training data, hosts the tuned models, and serves them through the OpenAI SDK. Users can upload CSV or JSONL files, collect training pairs from real searches, or save results from the playground. It offers two base models, ReOpenly/Qwen3-Embedding-0.6B and ReOpenly/Qwen3-Embedding-4B, with support for up to 512 tokens per input. Pricing is based on GPU training time at $0.03 per GPU minute, with ten free credits for new accounts.

ReOpenly at a glance

Best for: Software engineer, Researcher
Runs on: Web, API
Pricing: 10 free credits; training and inference cost $0.03 per GPU minute
Released: October 2026
Category: AI research tool
Website: reopenly.com

Key features

Fine-tune embedding models on custom data
Host models for OpenAI SDK compatibility
Collect training pairs from real searches
Upload CSV or JSONL datasets
Test similarity and vectors in a playground
Download trained adapters with checksums

Use it for

Improving RAG search result relevance
Training embedding models on application search logs
Evaluating embeddings in a playground
Hosting custom embedding models

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