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Hqllr — Document Indexer

A lightning-fast, local-first knowledge indexer.

Hqllr transforms raw documents into compact, deduplicated knowledge ready for instant search and verifiable answers.

Why Hqllr

  • Local & Sovereign — runs offline; your data stays yours.
  • Atomised & Deduped — stores only what’s unique; saves space and time.
  • Instantly Searchable — built for rapid lookups at any scale.
  • Provenance-Ready — designed so downstream answers can cite and verify.

Status

Preview – architecture and APIs here are high-level; core internals are private while we harden the engine.

  • Public demos, schemas, and examples will land first.
  • Full ingest features will appear in staged releases.

Get Started (Preview)

  • Examples: examples/ show how to prepare data and query mock indices.
  • CLI (preview): hqllr --help (when published)

Roadmap

  • Preview demos & mock datasets
  • Public CLI (read-only)
  • SDK bindings (Dart/Go/Python)
  • Private ingest beta (early access)

Security & Privacy

  • Built for offline/sovereign use. No telemetry by default.
  • See SECURITY.md and PRIVACY.md.

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Atomises documents, removes duplication, and prepares data for instant, verifiable search

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