Research groups drown in PDFs: working papers, preprints, vendor datasheets, conference proceedings, old internal reports. Most of the knowledge is trapped in file systems that search tools cannot read. A knowledge base API turns that corpus into something any teammate — or any AI assistant — can query in one sentence.
What researchers care about
- Retrieval that returns the specific page a claim comes from, so citations are exact.
- Support for messy PDFs with scanned pages and complex layouts.
- An API a small team can integrate without a dedicated platform engineer.
- Predictable cost as the corpus grows from a few hundred to a few thousand documents.
How 3meel handles each
Every result carries a page pointer, so downstream citations are machine-verifiable. Ingestion extracts and pages the document on upload; you never have to babysit chunk sizes. REST and MCP endpoints both work out of the box. Pro ($17/month, 7-day trial) supports 10 knowledge bases and 100 files per KB; teams with larger corpora move to an enterprise plan with unlimited knowledge bases and priority indexing.
A workflow that tends to stick
- Bulk-upload PDFs into a shared knowledge base.
- Build a small internal assistant — or just use Claude Desktop or Cursor over MCP — pointed at that KB.
- Write research notes that link back to retrieved pages via the citation URLs.
- Periodically review the most-queried topics and expand coverage there first.
Privacy
Documents are encrypted in transit and at rest, and are never used for model training. If your group has data-residency or self-hosting requirements, enterprise deployments support running 3meel in your own infrastructure.
Point your research corpus at an API this week — free plan, no card.
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