pgvector-similarity-search

This skill is coherent with its stated purpose: performing semantic similarity search using pgvector and an external embedding service. The implementation uses parameterized queries and a stored SQL function, which reduces injection risk. The main security consideration is data sent to the embedding service (OllamaClient): embeddings and original text are transmitted to an external endpoint, which is expected functionality but a privacy and trust boundary. There are no download-execute chains, no hidden backdoors, and no direct credential-harvesting code in the fragment provided. Recommended precautions: ensure OllamaClient is configured to use a trusted endpoint, review its transport security and logging policies, restrict and rotate PostgreSQL and Ollama credentials appropriately, and avoid sending highly sensitive plaintext to external embedding services.