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pgvector - PostgreSQL extension for vector similarity search. Use for embedding storage, cosine similarity, IVFFlat indexes, and HNSW indexes.
Comprehensive assistance with pgvector development, generated from official documentation.
This skill should be triggered when:
Pattern 1: To run an example:
cd examples/openai
createdb pgvector_example
dart pub get
dart run example.dart
Pattern 2: To run an example:
cd examples/loading
createdb pgvector_example
cmake -S . -B build
cmake --build build
build/example
Pattern 3: To run an example:
cd examples/openai
createdb pgvector_example
dub run
Pattern 4: To run an example:
cd examples/openai
createdb pgvector_example
sbcl --noinform --non-interactive --load example.lisp
Pattern 5: To run an example:
cd examples/openai
createdb pgvector_example
cmake -S . -B build
cmake --build build
build/example
Pattern 6: To run an example:
cd examples/loading
mix deps.get
createdb pgvector_example
mix run example.exs
Pattern 7: To run an example:
cd examples/openai
createdb pgvector_example
crystal examples/openai/example.cr
Pattern 8: To run an example:
cd examples/Loading
createdb pgvector_example
dotnet run
This skill includes comprehensive documentation in references/:
Use view to read specific reference files when detailed information is needed.
Start with the getting_started or tutorials reference files for foundational concepts.
Use the appropriate category reference file (api, guides, etc.) for detailed information.
The quick reference section above contains common patterns extracted from the official docs.
Organized documentation extracted from official sources. These files contain:
Add helper scripts here for common automation tasks.
Add templates, boilerplate, or example projects here.
To refresh this skill with updated documentation:
