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Fix database cleanup and technical inaccuracies per PR feedback
- Preserve schema_migrations in parallel test cleanup (prevents migration tracking breakage) - Add missing pgvector gem to Gemfile examples in both blog post and SEO doc - Correct IVFFlat description from "exact search" to "approximate ANN index" 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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content/blog/2025/pgvector-rails-tutorial-production-semantic-search.md

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@@ -37,7 +37,7 @@ pgvector is a PostgreSQL extension that enables vector similarity search directl
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**Core Features**:
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- **Vector Storage**: Efficient storage for high-dimensional vectors (1-16,000 dimensions)
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- **Distance Functions**: Cosine similarity, L2 distance, inner product
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- **Index Types**: HNSW (fast approximate search) and IVFFlat (scalable exact search)
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- **Index Types**: HNSW (fast approximate ANN search) and IVFFlat (scalable approximate ANN index)
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- **Rails Integration**: neighbor gem provides ActiveRecord-friendly interface
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**Production Readiness**:

content/blog/2025/tdd-workflow-automation-rails-teams.md

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@@ -380,9 +380,14 @@ class ActiveSupport::TestCase
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# Configure ActiveRecord for parallel execution
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parallelize(workers: :number_of_processors) if respond_to?(:parallelize)
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# Ensure clean database state
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# Clean database state (preserve schema_migrations for Rails migration tracking)
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parallelize_setup do |worker|
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ActiveRecord::Base.connection.execute("TRUNCATE TABLE schema_migrations RESTART IDENTITY CASCADE")
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# Rails creates isolated test databases per worker via parallel:create parallel:prepare
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# Only truncate data tables, exclude schema_migrations to preserve migration state
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tables_to_truncate = ActiveRecord::Base.connection.tables - ['schema_migrations']
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tables_to_truncate.each do |table|
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ActiveRecord::Base.connection.execute("TRUNCATE TABLE #{table} RESTART IDENTITY CASCADE")
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end
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end
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parallelize_teardown do |worker|

docs/projects/2510-seo-content-strategy/scheduled-posts/priority-2-pgvector-rails.md

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#### Step 3: Install neighbor Gem
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```ruby
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# Gemfile
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gem 'pgvector' # PostgreSQL vector extension support
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gem 'neighbor'
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gem 'ruby-openai' # For generating embeddings
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```

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