* [1.19] Document language-neutral BM25 text processing (#2445)
* Break Inference page into several pages
* Edits
* Document short query optimization in Cloud Inference
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* [1.19] Document language-neutral BM25 text processing
Replaces the deprecated `language: "none"` workaround with the new explicit
API: `stemmer: {"type": "none"}` to disable stemming and `stopwords: {}`
(empty StopwordsSet) to disable stopword removal.
Updates the language-neutral snippet for all seven client languages and
refreshes the Stemming and Stopwords + Language-neutral sections in
text-search.md with a deprecation callout for the old approach.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Document that stemming and stopword removal are disabled by default for payload indexes
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* Edits
* The multilingual tokenizer doesn't do lemmatization
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
* Document `max_disk_usage_percent` for Strict Mode (#2504)
* Document max_disc_usage_percent.
* Generate MD version for the snippets.
* Rephrase sentence.
* [1.19] Documentation for the Turbo4 datatype (#2517)
* Add 'turbo4' section to Vectors docs
* Edit existing datatypes sections
* Update outdated 'Vector Datatypes' section on the Collections page
* Edit
* Documentation for the slice filtering condition (#2529)
* [1.19] Documentation for per-query IDF statistics (#2526)
* Documentation for per-query IDF statistics
* Clarify that IDF is calculated per shard
* Review feedback
* Document `X-Qdrant-Route-Affinity` header for deterministic read routing (#2541)
* Document X-Qdrant-Route-Affinity header for deterministic read routing.
* Address feedback.
* Address feedback.
* Revert "Document `max_disk_usage_percent` for Strict Mode (#2504)" (#2582)
This reverts commit 460ee971ff.
* [1.19] Documentation for resource quotas (#2586)
Document the global quota API from qdrant/qdrant#10035, which replaces the
per-collection strict mode knobs for memory and disk with a single cluster-wide
quota.
New page, ops-configuration/quotas.md (weight 7, between Configuration and
Administration):
- Configuring quotas via storage.quotas, QDRANT__STORAGE__QUOTAS__* env vars,
and PUT /quotas, with the parameter reference
- Configuration precedence: the API wins once used anywhere in the cluster, and
a joining peer receives the config through consensus instead of reading its
own file
- What happens when a limit is reached: the full node's replica is excluded and
marked dead, the write still succeeds at write_consistency_factor
acknowledgements, and clients see HTTP 507 only when no replica can accept it
- Which operations stay allowed, the release margin, GET /quotas for finding the
full node, and the quota_exceeded metric plus the /telemetry quota field
Supporting changes:
- configuration.md: add the storage.quotas block
- monitoring.md: add quota_exceeded to Application Metrics, and note the
/telemetry quota field
- security.md: add get quotas and set quotas to the JWT access table
- common-errors.md: new Insufficient storage (HTTP 507) entry
- faq/qdrant-fundamentals.md: entry on writes rejected with HTTP 507
- administration.md: mark max_resident_memory_percent deprecated as of 1.19.0
- ops-configuration/_index.md: add the new page
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
* Test code snippets against 1.19
* Document prefix match filtering condition (#2512)
* Document prefix match filtering condition.
* Add generated files.
* Address feedback.
* Address feedback.
* [1.19] Remove links to docs for removed APIs (#2596)
* Remove links to docs for removed APIs
* Add links to new end endpoints
* Use title case for all headers
* [1.19] Add new 'Memory Tiers' page under 'Configuration' (#2510)
* Add new 'Memory Tiers' page under 'Configuration'
* Change doc structure
* Edits
* Review feedback
* [1.19] Memory tiers: existing page updates (#2535)
* Link Vector Storage section to Memory Tiers
* Update collections.md and hnsw-and-quantization snippet for Memory Tiers
* Update indexing.md for Memory Tiers, add sparse-vector-index default snippet
* Update quantization.md and its snippets for Memory
Tiers
* Update storage.md and its snippets for Memory Tiers
* Update configuration.md for Memory Tiers
* Update administration.md Low Memory Mode section for Memory Tiers
* Update optimize.md and its snippets for Memory Tiers
* Cross-link memory-usage.md fields to Memory Tiers
* Update read-write-contention.md RAM scaling note for Memory Tiers
* Update capacity-planning.md for Memory Tiers
* Update production-checklist.md storage section for Memory Tiers
* Update what-is-qdrant.md Storage bullet for Memory Tiers
* Update cloud-getting-started.md cost-optimization tip for Memory Tiers
* Update create-cluster.md disk sizing note for Memory Tiers
* Update bulk-upload.md Upload Directly to Disk section for Memory Tiers
* Note deprecated legacy params in large-scale-search.md benchmark config
* Fix missed Update Vector Parameters section and sparse-index description for Memory Tiers
* Release blog for v1.19 (#2553)
* Initial commit
* Review feedback
* Add 'Resharding Progress' section to Web UI Enhacements
* Add preview images
* Add missing section image
* Added link to Qdrant Advisor agent skill
* Add links; small edits
* Remove max_disk_usage_percent entry
* Add Resource Quotas entry
* Update release date
* Fix create-payload-index/keyword-with-prefix/rust.rs issue
* Fix create-collection/with-memory-tiers/csharp.cs issue
* Don't publish the blog post yet
* Remove blog post from this PR
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: István Zoltán Szabó <istvan.zoltan.szabo@qdrant.com>
Each of the three cards (Tripadvisor, Deutsche Telekom, FAZ) now links to its
case study post. The whole card is the anchor, with a Read Case Study label
using the same link link_dark link_md style as the resources section below.
The label is a span rather than a nested anchor, so the card stays a single
link target and keyboard navigation lands on it once.
Figma exports full RGBA, which was 4.5x the bytes of the assets they replace.
Run through pngquant --quality=70-95 to match how the previous assets were
saved. No visible banding in the starfield gradients.
Replace qdrant-cloud.png and qdrant-cloud-mobile.png with the current Figma
design of the cluster creation screen. Exported from the Hero group so the
gradient overlay behind the window is included.
New design is proportioned differently, so height drops at the same width:
1230x807 -> 1230x721 desktop, 1008x660 -> 1008x591 mobile.
Replace infrastructure.png and infrastructure-mobile.png with the current
Figma design of the self-managing infrastructure card. The heading moved
out of the graphic into page HTML, so the card no longer carries it.
Dimensions unchanged: 840x660 desktop, 1005x790 mobile.
* update Cloud page
* fix image paths
* fix image paths
* update images and text on the button
* add links and target=_blank
* add missing links, updated the cards so the entire card is clickable
* add graphana dashboard gh link
---------
Co-authored-by: trean <trean.mi@gmail.com>
The Articles landing page rendered ten visually identical blocks: Latest
Articles followed by nine category shelves, all with the same heading and
the same cards, so the newest work had no visual priority.
Give the Latest block a featured treatment: tinted surface, brand-red top
rule, rounded border, and a larger section heading, via a new
docs-articles__block_featured modifier. Light-theme overrides follow the
existing [data-theme='light'] convention in the same file. The nine
category blocks are untouched.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
- Credit Manas Chopra alongside Nirant Kasliwal
- Move published date to 2026-07-30
- Mark explicitly as non-featured
- Link the Discord mention properly on the canonical discord.gg/qdrant invite
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
* Auto-render llms.txt file
* Link to llms.txt from every index.md page
* Remove outdated llms-full.txt
* Link to skills and search from Markdownified page headers
