cloud: Add FullText Search docs (#20849) #20930
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@breezewish This PR has conflicts, I have hold it. |
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Hello @ti-chi-bot, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
Summary of Changes
This pull request introduces documentation for Full-Text Search in TiDB Cloud, focusing on its integration with Python and SQL. It includes guides on setting up full-text search, performing queries, and combining it with vector search for hybrid search scenarios. The documentation also specifies the current availability of Full-Text Search in TiDB Cloud Serverless (Frankfurt region) and provides links to relevant resources and support channels.
Highlights
- Full-Text Search Documentation: Adds comprehensive documentation for using Full-Text Search with both Python and SQL in TiDB Cloud.
- Hybrid Search Guide: Provides a guide on combining full-text search and vector search for improved retrieval quality in AI applications.
- pytidb Integration: Demonstrates the use of the pytidb Python SDK for performing full-text and hybrid searches, including embedding and reranking functionalities.
- Availability and Prerequisites: Specifies that Full-Text Search is currently available only in TiDB Cloud Serverless (Frankfurt region) and outlines the necessary prerequisites for using the feature.
Changelog
Click here to see the changelog
- TOC-tidb-cloud.md
- Adds entries for Full-Text Search documentation (SQL and Python) and Hybrid Search to the table of contents.
- Corrects links for SQLAlchemy, peewee, and Django ORM integrations to point to the /vector-search/ directory instead of /tidb-cloud/.
- media/vector-search/hybrid-search-overview.svg
- Adds a new SVG image illustrating the hybrid search overview.
- tidb-cloud/vector-search-full-text-search-python.md
- Creates a new document detailing how to use Full-Text Search with Python, including installation of the pytidb SDK, connecting to TiDB, creating tables and indexes, inserting data, and performing searches.
- Provides a complete example and links to the pytidb full-text search demo.
- tidb-cloud/vector-search-full-text-search-sql.md
- Creates a new document detailing how to use Full-Text Search with SQL, including creating indexes, inserting data, performing searches, and joining search results with other tables.
- Includes examples of using the FTS_MATCH_WORD() function and combining full-text search with joins and subqueries.
- tidb-cloud/vector-search-hybrid-search.md
- Creates a new document detailing how to combine full-text search and vector search for improved retrieval quality, using the pytidb Python SDK for embedding and reranking.
- Provides a complete example and links to the pytidb hybrid search demo.
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/approve |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: qiancai The full list of commands accepted by this bot can be found here. The pull request process is described here
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
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Code Review
This pull request introduces documentation for Full-Text Search, covering SQL and Python implementations, and hybrid search. The documentation includes conceptual explanations, prerequisites, and step-by-step guides. Overall, the documentation is well-structured and informative. However, I have a few suggestions to improve clarity and adherence to the style guide.
Summary of Findings
- TOC inconsistencies: The table of contents (TOC) entries for SQLAlchemy, peewee, and Django ORM are duplicated with different paths. This needs to be resolved to ensure accurate navigation.
- Incomplete code snippets: Some code snippets in the Python documentation are missing closing parentheses, which can cause confusion for users trying to copy and paste the code.
- Inconsistent terminology: In the SQL documentation, the term 'user query' is used, which might be better phrased as 'search query' for consistency with the rest of the document.
- Grammar and spelling: There are some minor grammatical and spelling issues that need to be addressed to improve the overall quality of the documentation.
Merge Readiness
The pull request is almost ready for merging. Addressing the identified issues, particularly the TOC inconsistencies and incomplete code snippets, will significantly improve the quality and usability of the documentation. I am unable to approve this pull request, and recommend that another reviewer also reviews this code before merging. I recommend that the pull request not be merged until the high severity issues are addressed.
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| **Example: count the number of documents matching the user query** |
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Consider changing "user query" to "search query" for consistency with the rest of the document.
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/retest |
This is an automated cherry-pick of #20849
First-time contributors' checklist
What is changed, added or deleted? (Required)
Add basic Full Text search docs. Additional contents to be added in future PRs:
Which TiDB version(s) do your changes apply to? (Required)
Tips for choosing the affected version(s):
By default, CHOOSE MASTER ONLY so your changes will be applied to the next TiDB major or minor releases. If your PR involves a product feature behavior change or a compatibility change, CHOOSE THE AFFECTED RELEASE BRANCH(ES) AND MASTER.
For details, see tips for choosing the affected versions.
What is the related PR or file link(s)?
Do your changes match any of the following descriptions?