- Move the "Before we get into..." sentence into the Why Vector Type
Matters section (per Neil's clarified intent)
- Replace all custom-styled inline HTML (vector-type badges, best-fit/
watch-for callouts, benchmark boxes) with standard markdown for
consistency with other articles and docs
- Point to "Qdrant's Agent Skills" at qdrant.tech/documentation/skills/
- Switch Option 3 example from scalar quantization to TurboQuant
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Convert all diagram embeds from HTML <img> to markdown image syntax
- Trim code snippets to the focal call (drop client/collection boilerplate;
drop the points-generation block in the batching example)
- Move the "break down the difference" line to open the Vector Type section
- Remove the redundant closing sentence in Why Vector Type Matters
- Bold "there is no single configuration that works best for every bulk upload"
- Replace the Capacity Planning link with the Qdrant sizing calculator
(sizing.qdrant.tech)
- Add a pointer to Qdrant Skills for scenario-specific guidance
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
New production-ops article covering bulk upload best practices in Qdrant:
on-disk vector storage, payload indexes, quantization, sparse-index
on-disk storage, batching, parallelization, and sharding — for both
dense and sparse vectors.
Includes:
- content/articles/bulk-uploads-in-qdrant.md
- Cover / preview / social images (preview/)
- Seven flow diagrams (one per option) illustrating the recommended vs
default path for each strategy
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
