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Explore and search your documents

  • Search: Enter queries that map to your retriever inputs or perform fielded searches using filters. For retriever-backed search, use the Research area; Explorer provides ad-hoc discovery across collections.
  • Filters: Apply AND/OR/NOT filters, ranges, and keyword matches on metadata. API filter model mirrors [LogicalOperator] fields used across list and execute endpoints.
  • Sort and paginate: Order by score or any document field and control page size. Mirrors retriever execution sort behaviour.
  • Select fields: Toggle columns to tailor the view. Useful to inspect vector presence, enrichments, and metadata.
  • Preview assets: Enable presigned URLs to open media directly from S3-compatible storage.

Tips

  • Switch namespaces to change the collection set you are exploring.
  • For production search UX, prefer saved retrievers; Explorer is ideal for QA and data auditing.
Explorer is optimized for ad-hoc discovery. For structured pipelines, build a retriever and test in Research.