Vector Panda Documentation

Reviewed Jan 1, 2000.

• tools: 8 tools scanned
• metadata: scanned

No findings.

Tools (8)

• search_docs

  Full-text search across Vector Panda concepts, tutorials, projects, and the engineering build log. Returns ranked matches with canonical URLs and freshness.

• read_doc

  Fetch the full Markdown of one document by its site path (for example /docs/concepts/embeddings-101), as returned by search_docs.

• get_quickstart

  The Vector Panda quickstart: install the veep Python SDK, upload a file, and run similarity queries end to end.

• get_api_operation

  List public REST API operations, or pass one (e.g. "POST /api/v1/query") for its parameters, request body, responses, and auth. Sourced from the published OpenAPI spec.

• get_pricing

  Current storage-tier pricing, monthly usage credits, and billing cycle. Storage-only pricing: no per-query or egress fees.

• get_benchmark_methodology

  Measured benchmark results and full reproduction methodology (VectorDBBench through the public API), including dataset, recall, and cost.

• compare_storage_tiers

  Hot, warm, and paused storage tiers: current per-GB prices with what each tier means for query latency and when to pick it.

• list_supported_formats

  File formats accepted for vector ingestion, from the canonical features page.