Documents Ollama embedding service evaluation for ADR-003 semantic search
implementation, including performance benchmarks and capacity analysis.
## Documentation
### Ollama Capacity Analysis
- Performance metrics for ollama.internal.coutinho.io
- Model: nomic-embed-text:latest
- Embedding generation benchmarks (single, batch, parallel)
- Latency analysis and throughput measurements
- Resource usage and capacity recommendations
### Ollama Embeddings Investigation
- Evaluation of Ollama for semantic search use case
- Comparison with other embedding providers
- Integration considerations with ADR-003 architecture
- Deployment scenarios and operational requirements
## Key Findings
✅ Ollama instance operational and performing well
✅ Reasonable latency for small-medium workloads
✅ Good parallelism support
✅ Suitable for development and small production deployments
## References
- ADR-003: Vector Database Semantic Search
- Ollama API documentation
- nomic-embed-text model specifications
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Import recipes from URLs using schema.org metadata
- Full CRUD operations for recipes
- Search, categorize, and organize recipes
- Manage keywords/tags and categories
- Configure app settings and trigger reindexing
Chris Coutinho