Record the real re-run: parallel 1->4 workers was ~1.2x (5.58s->4.61s) on a
local single node, not 2x. Add the confirmed server version (1.18.2) to both callouts.
- Frontmatter: full-timestamp date, add author_link and keywords, trim description under 140 chars
- Add redirect for the unpublished indexing-optimization article
- Show bits=BITS4 in the TurboQuant snippet to match the decision tree
- Replace the five repeated 'In Python, this can look like' lead-ins with specific ones
- Add prefer_grpc=True tip and a collection-status-green check
Replace the Choosing the Right Mix table with a decision-tree diagram,
refresh all seven strategy diagrams, and group batching, parallelization,
and sharding under Best Practices for Every Upload (no longer numbered options).
- 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>
Abdon Pijpelink