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Draft: Connect Tanuki bot to database

What does this MR do and why?

  • Add support for embedding database
  • Add new gem neighbor to allow ActiveRecord to interact with pgvector data structures

Context

We need the pgvector extension installed and enabled for this new database. It is needed for AI experimentation features that require storing and searching embeddings. We don't want to make it a dependency for the main DB on GitLab.com and for self-managed customers.

Gemfile changes

Legal and compliance issue: https://gitlab.com/gitlab-com/legal-and-compliance/-/issues/1479+

gem: https://github.com/ankane/neighbor

From the guidelines

  • They have an active developer community. At the minimum a maintainer should still be active to merge change requests in case of emergencies.
  • There are no issues open that we know may impact the availability or performance of GitLab.
  • The project is tested using some form of test automation. The test suite must be passing using the Ruby version currently used by GitLab. - pipeline: https://github.com/ankane/neighbor/actions/runs/4585609385
  • CI builds for all supported platforms must succeed using the new dependency. For more information, see how to build a package for testing.
  • [-] If the project uses a C extension, consider requesting an additional review from a C or MRI domain expert. C extensions can greatly impact GitLab stability and performance.
Click to see the explain analyze
Limit  (cost=3373.84..3373.86 rows=7 width=16) (actual time=900.708..900.756 rows=7 loops=1)
   Output: id, ((embedding <#> '[-0.010012891,0.007275803,-0.0071718628,-0.029491255,-0.033787444,0.02913093,-0.03581081,-0.03181951,-0.035034724,-0.020746432,0.020386107,0.013269679,-0.020289097,-0.007691563,-0.000622341,-0.0044105225,0.03913689,-0.027038269,0.011038433,-0.005314801,-0.021882843,-0.0003718022,0.02974071,-0.016186928,-0.0023507774,0.0028531542,0.004455563,-0.023545884,-0.014579323,-0.016616547,0.0166997,0.015951332,-0.02306083,-0.034979288,-0.02683039,0.024571426,0.0030021349,-0.0017756424,0.031376034,-0.008924985,0.026858106,-0.0039427923,-0.0068219313,-0.019457577,-0.009444685,-0.008827974,-0.006045846,-0.03129288,0.0029016596,0.03298364,0.01743421,0.010941422,-0.0225342,-0.0018553297,-0.005138103,-0.0047881715,-0.015286116,0.038360804,0
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   Buffers: shared hit=41198
(END)   ->  Sort  (cost=3373.84..3405.70 rows=12742 width=16) (actual time=900.687..900.705 rows=7 loops=1)
         Output: id, ((embedding <#> 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         Sort Method: top-N heapsort  Memory: 25kB
         Buffers: shared hit=41198
         ->  Seq Scan on public.tanuki_bot  (cost=0.00..3131.28 rows=12742 width=16) (actual time=0.385..830.013 rows=12742 loops=1)
               Output: id, (embedding <#> 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               Buffers: shared hit=41198
 Planning Time: 0.862 ms
 Execution Time: 901.037 ms
(13 rows)

Screenshots or screen recordings

Screenshots are required for UI changes, and strongly recommended for all other merge requests.

How to set up and validate locally

Need to add to database.yml

  embedding:
    adapter: postgresql
    encoding: unicode
    database: tanuki_bot
    host: localhost
    port: 5433
    user: postgres
    password: password
    pool: 10
    prepared_statements: false
    variables:
      statement_timeout: 120s

MR acceptance checklist

This checklist encourages us to confirm any changes have been analyzed to reduce risks in quality, performance, reliability, security, and maintainability.

Edited by Dmitry Gruzd

Merge request reports