Startups do not have a quarter to build a retrieval pipeline. You have a few weeks to ship a feature, get it in front of users, and learn. A managed knowledge base API is the right primitive: you keep the product differentiation, and someone else handles the ingestion, indexing, and retrieval plumbing.
What founders tend to need
- A REST or MCP endpoint their backend can call from any language.
- Predictable pricing that does not blow up on the first viral day.
- Citations so support conversations and agent outputs are auditable.
- The ability to self-serve — no 'contact sales' tax to get started.
Why 3meel fits
Free plan covers smoke-testing the idea with 100 queries per month on 5 documents. Pro at $17/month with a 7-day trial gives you 3,000 queries per month, 10 knowledge bases, and 1 GB of storage — enough to run a small beta. API keys are minted in the dashboard in one click. Every query returns page-level citations you can surface in your UI.
When to graduate to something custom
If your retrieval becomes a structural differentiator — e.g., you need a domain-specific embedding model, or you want to own the vector store for data-residency reasons — that is the right time to build. Until then, buying this layer frees up engineering time for features users actually pay for.
Operational notes
- Per-key rate limit is 60 requests per minute — plenty for most user-facing traffic.
- Documents are encrypted in transit and at rest in S3-compatible storage.
- Uploaded data is never used for model training.
- Upgrade or downgrade at any time; prorated credit applies to future cycles.
Build your grounded AI feature this week, not next quarter.
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