7b8c3f93a8
Adds comprehensive integration tests for vector database semantic search that work without external dependencies (Ollama), making them suitable for CI/CD. Changes: - Add SimpleEmbeddingProvider: in-process TF-IDF-like embeddings using feature hashing - Make Ollama optional: embedding service now falls back to SimpleEmbeddingProvider - Add 6 integration tests covering semantic search, filtering, and batch operations - Downgrade urllib3 to 1.26.x for qdrant-client compatibility - Update docker-compose.yml to comment out Ollama configuration (optional) The SimpleEmbeddingProvider generates deterministic, normalized embeddings suitable for testing semantic similarity without requiring external services. Tests validate that similar texts have higher cosine similarity and that semantic search correctly ranks results by relevance. Test coverage: - Deterministic embedding generation - Semantic similarity between texts - Full search flow with Qdrant (in-memory) - Category filtering - Empty result handling - Batch embedding generation All tests pass and can run in GitHub CI without Ollama infrastructure. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
0 lines
0 B
Python
0 lines
0 B
Python
The file is empty.