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WalkthroughAdds a Machine Learning solution page and solution grid entry; removes the old Machine Learning topic page and card; updates multiple Time Series docs (titles, intros, tags, and removed advanced sections); adds a Text-to-SQL subsection under Search; rewords vector search overview; and adds a new external link entry. Changes
Sequence Diagram(s)No sequence diagrams necessary for these documentation-only structural and content changes. Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Possibly related PRs
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🧹 Nitpick comments (7)
docs/feature/query/index.md (1)
169-171: Avoid an orphan subsection: add 1–2 context sentences.Consider a one‑liner under “Text‑to‑SQL” so the section isn’t just a single link.
## Text-to-SQL -- {ref}`text-to-sql` +Natural language to SQL conversions using adapters and frameworks. +- {ref}`text-to-sql`docs/feature/search/vector/index.md (2)
25-29: Consistent US spelling for kNN.Mix of “neighbour”/“Neighbors” in this page. Standardize to “nearest neighbor (kNN)”.
- neighbour (kNN) + neighbor (kNN) - functions, effectively conducting HNSW semantic similarity searches on them, + functions to perform HNSW-based semantic similarity search,
42-45: Minor wording polish.Tighten the sentence and avoid “may be”.
-Feature vectors may be computed from raw data using machine learning -methods such as feature extraction algorithms, word embeddings, or deep -learning networks. +Feature vectors are computed from raw data via ML methods such as feature +extraction, word embeddings, or deep neural networks.docs/solution/machine-learning/index.md (4)
17-25: Fix markdownlint MD052: explicit reference label.markdownlint often can’t resolve link definitions from includes. Use explicit reference to avoid “Missing link definition: vector database”.
-[Vector databases][Vector Database] can be used for similarity search, +[Vector databases][Vector Database] can be used for similarity search,If MD052 persists, switch to an inline link or duplicate the definition locally.
- [Vector databases][Vector Database] can be used for similarity search, + [Vector databases](https://en.wikipedia.org/wiki/Vector_database) can be used for similarity search,
33-38: kNN spelling consistency.Use “neighbor” to match the rest of the docs.
- k-nearest neighbour (kNN) + k-nearest neighbor (kNN)
51-61: LangChain adapter wording: minor tightening.Shorten and remove “also”.
-The LangChain adapter for CrateDB provides support to use CrateDB as a vector -store database, to load documents using LangChain’s DocumentLoader, and also -supports LangChain’s conversational memory subsystem. +The LangChain adapter lets you use CrateDB as a vector store database, load +documents via DocumentLoader, and use LangChain’s conversational memory.
162-170: MLflow storage statement: consider adding link to setup guide.If there’s a page on configuring MLflow Tracking with CrateDB, link it here.
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docs/_include/card/timeseries-intro.md(1 hunks)docs/_include/links.md(1 hunks)docs/feature/query/index.md(1 hunks)docs/feature/search/vector/index.md(2 hunks)docs/solution/index.md(2 hunks)docs/solution/machine-learning/index.md(1 hunks)docs/solution/machine-learning/time-series.md(1 hunks)docs/topic/index.md(0 hunks)docs/topic/ml/index.md(0 hunks)docs/topic/timeseries/fundamentals.md(2 hunks)docs/topic/timeseries/index.md(0 hunks)
💤 Files with no reviewable changes (3)
- docs/topic/timeseries/index.md
- docs/topic/ml/index.md
- docs/topic/index.md
🧰 Additional context used
🪛 markdownlint-cli2 (0.17.2)
docs/solution/machine-learning/index.md
17-17: Reference links and images should use a label that is defined
Missing link or image reference definition: "vector database"
(MD052, reference-links-images)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: Build docs
🔇 Additional comments (10)
docs/_include/links.md (1)
51-51: Add MLOps link: looks good.No issues. Link label and URL format match the file’s conventions.
docs/solution/index.md (2)
72-83: New ML card: LGTM.Copy, icon, and link role look consistent with the grid.
94-94: TOC entry: LGTM.The hidden toctree entry will surface the page in nav; path looks correct.
docs/topic/timeseries/fundamentals.md (2)
5-12: Intro and tags: LGTM.Tone and tag usage align with style used elsewhere.
30-32: Include exists — no action required.
Found docs/_include/card/timeseries-datashader.md; referenced in docs/topic/timeseries/fundamentals.md (line 30) and docs/integrate/pyviz/index.md (line 62).docs/_include/card/timeseries-intro.md (1)
25-41: Card copy tweaks: LGTM.Clear upgrade; MAX_BY note is helpful. No action needed.
docs/solution/machine-learning/time-series.md (2)
6-9: Intro block: LGTM.Matches phrasing used in Fundamentals; consistent voice.
1-1: Anchor token (ml-timeseries) is unique — no collisions found.
Only occurrence: docs/solution/machine-learning/time-series.md:1; nearby anchors (timeseries-advanced) and (timeseries-analysis) appear on lines 2–3 and are distinct.docs/solution/machine-learning/index.md (2)
66-72: Good: cross-links for Text‑to‑SQL.Nice addition; clear positioning with MCP and enterprise data.
77-96: Resolved — referenced anchors exist: llamaindex, mcp, mindsdbAnchors found at docs/integrate/llamaindex/index.md, docs/connect/mcp/index.md, docs/integrate/mindsdb/index.md.
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🧹 Nitpick comments (4)
docs/solution/machine-learning/index.md (4)
17-25: Fix missing reference link: replace[Vector Database]with a valid :ref: or plain textmarkdownlint reports an undefined reference label. Prefer linking to the Vector Search doc via :ref:, or drop the link.
Apply one of:
-[Vector Database] can be used for similarity search, +:ref:`Vector search <vector-search>` can be used for similarity search,or
-[Vector Database] can be used for similarity search, +Vector databases can be used for similarity search,
33-35: k-NN phrasing consistencyUse the standard plural and hyphenation.
-CrateDB's FLOAT_VECTOR data type implements a vector store and the k-nearest -neighbor (kNN) search algorithm to find vectors that are similar to a query +CrateDB's FLOAT_VECTOR data type implements a vector store and the k‑nearest +neighbors (k‑NN) search algorithm to find vectors that are similar to a query
86-88: Remove stray comma after the acronymGrammar nit.
-The Model Context Protocol (MCP), is an open protocol that enables seamless +The Model Context Protocol (MCP) is an open protocol that enables seamless
51-60: Minor wording: LangChain “Document Loaders”LangChain generally refers to “Document Loaders” (plural). Adjust for accuracy.
-The LangChain adapter lets you use CrateDB as a vector store database, load -documents via DocumentLoader, and use LangChain’s conversational memory. +The LangChain adapter lets you use CrateDB as a vector store database, load +documents via document loaders, and use LangChain’s conversational memory.
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📒 Files selected for processing (3)
docs/feature/query/index.md(1 hunks)docs/feature/search/vector/index.md(2 hunks)docs/solution/machine-learning/index.md(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- docs/feature/query/index.md
🚧 Files skipped from review as they are similar to previous changes (1)
- docs/feature/search/vector/index.md
🧰 Additional context used
🪛 markdownlint-cli2 (0.17.2)
docs/solution/machine-learning/index.md
17-17: Reference links and images should use a label that is defined
Missing link or image reference definition: "vector database"
(MD052, reference-links-images)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: Build docs
🔇 Additional comments (3)
docs/solution/machine-learning/index.md (3)
128-136: Duplicate “Advanced time series analysis with MLflow and PyCaret” cardThis card appears in both “Time series analysis” and “MLOps and model training.” If intentional cross-linking, ignore; otherwise dedupe to reduce repetition.
Also applies to: 180-189
194-198: Confirm toctree target exists — OK
docs/solution/machine-learning/time-series.md exists and includes a top-level heading ("# Advanced Time Series Analysis") and the expected section ("## Anomaly Detection and Forecasting").
1-3: Labels are unique — no duplicates foundRepo-wide search for Markdown "(ml)=", "(ml-tools)=", "(machine-learning)=" and RST ".. _label:" found only docs/solution/machine-learning/index.md (lines 1–3).
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