docs: Add Ollama embeddings capacity analysis and investigation #255
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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 <[email protected]>
The Nextcloud OIDC app has updated token_type parameter values: - Changed from "Bearer" → "opaque" for opaque tokens - Changed from "JWT" → "jwt" for JWT tokens Updated test_dcr_token_type.py to use lowercase token_type values: - token_type="jwt" for JWT-formatted tokens - token_type="opaque" for opaque/bearer tokens This fixes test failures where tests were using the old "Bearer" and "JWT" (uppercase) values which are no longer recognized by the OIDC app. Fixes test: test_dcr_respects_bearer_token_type 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Documents Ollama embedding service evaluation for ADR-003 semantic search
implementation, including performance benchmarks and capacity analysis.
Documentation
Ollama Capacity Analysis
Ollama Embeddings Investigation
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
🤖 Generated with Claude Code
Co-Authored-By: Claude [email protected]