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Retrieval Playground

Ready for user testing

Studio

Plan, build, and validate retrieval quality in one clean workspace.

Deterministic rankingNamespace awareQA-friendly outputs

Documents

0

Add docs to begin.

Namespaces

0

Namespaces detected from uploaded docs.

Pack status

Not built

Pack size

Workflow

Keep momentum: upload → build → validate.

  1. Prepare knowledge

    Upload files, parse documents, and keep content grouped by namespace.

  2. Build retrieval pack

    Compile or import a .knolo package to lock deterministic ranking behavior.

  3. Validate search quality

    Run representative prompts and inspect scoring + ordering.

Step 1 · Knowledge input

Upload your sources. Keep namespaces consistent for cleaner evaluation.

1) Add your knowledge sources

Upload PDF/JSON/CSV/TXT/MD or paste notes. Every new chunk is assigned to the active namespace.

Tip: Keep each paragraph focused on a single concept to make retrieval demos easier to evaluate.

Docs: 0
Namespaces: 0
Avg size: 0 chars

Change this value before each upload batch (for example: team-a then team-b).

PDFJSON arrayCSV with text columnTXT / Markdown

Step 2 · Pack build

Compile a deterministic .knolo artifact for QA + deployment.

2) Build or import a knowledge pack

Compile your documents into a deterministic retriever package and export it anywhere.

Pipeline readiness

Use Build for freshly loaded docs, or Import when teaching from a prebuilt classroom pack.

  • Documents loaded (0)
  • Pack bytes ready
  • Stats available