Editorial take
Why it stands out
Ragie should be framed as managed context infrastructure. The pricing detail across pages, media, and connectors is part of what makes it premium-directory-worthy.
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Tool profile
Managed RAG and context engine platform for agents, assistants, and apps, with pricing across retrieval, ingest, multimodal processing, and storage.
Managed RAG
Ragie belongs in the database because it is clearly positioned as context infrastructure rather than just another vague RAG tool. The official product surface frames it as a context engine for agents, assistants, and apps, with managed retrieval, indexing, multimodal support, and context workflows. That makes it especially relevant for teams that want to offload retrieval infrastructure while keeping product focus on the application layer.
It also deserves inclusion because the pricing page is unusually detailed. The official pricing page currently shows Developer as free, Starter at $100 per month, Pro at $500 per month, and Enterprise as custom, then layers in per-page ingest fees, per-page storage pricing, audio and video processing rates, media storage pricing, and connector add-ons. That is exactly the kind of infrastructure pricing sophistication the database should capture honestly.
Quick fit
Editorial take
Ragie should be framed as managed context infrastructure. The pricing detail across pages, media, and connectors is part of what makes it premium-directory-worthy.
What it does well
Primary use cases
Fit notes
Compare with
Pressure-test this pick against nearby alternatives.
Pricing snapshot
Ragie currently offers Developer for free, Starter at $100 per month, Pro at $500 per month, and Enterprise as custom, with separate pricing for page ingest, search storage, audio and video processing, media storage, and connectors.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
