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Jason Woltje 3ec2059470
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feat: add semantic search with pgvector (closes #68, #69, #70)
Issues resolved:
- #68: pgvector Setup
  * Added pgvector vector index migration for knowledge_embeddings
  * Vector index uses HNSW algorithm with cosine distance
  * Optimized for 1536-dimension OpenAI embeddings

- #69: Embedding Generation Pipeline
  * Created EmbeddingService with OpenAI integration
  * Automatic embedding generation on entry create/update
  * Batch processing endpoint for existing entries
  * Async generation to avoid blocking API responses
  * Content preparation with title weighting

- #70: Semantic Search API
  * POST /api/knowledge/search/semantic - pure vector search
  * POST /api/knowledge/search/hybrid - RRF combined search
  * POST /api/knowledge/embeddings/batch - batch generation
  * Comprehensive test coverage
  * Full documentation in docs/SEMANTIC_SEARCH.md

Technical details:
- Uses OpenAI text-embedding-3-small model (1536 dims)
- HNSW index for O(log n) similarity search
- Reciprocal Rank Fusion for hybrid search
- Graceful degradation when OpenAI not configured
- Async embedding generation for performance

Configuration:
- Added OPENAI_API_KEY to .env.example
- Optional feature - disabled if API key not set
- Falls back to keyword search in hybrid mode
2026-01-30 15:19:13 -06:00
..

Mosaic Stack Documentation

Complete documentation for Mosaic Stack, organized in Bookstack-compatible shelf/book/chapter/page structure.

📚 Books

1. Getting Started

Essential guides to get Mosaic Stack installed and configured.

2. Development

Developer guides for contributing to Mosaic Stack.

3. Architecture

Technical architecture and design decisions.

4. API Reference

Complete API endpoint documentation.

📝 Scratchpads

Development notes and implementation details for specific issues:

For New Users

  1. Quick Start
  2. Local Setup
  3. Environment Configuration

For Developers

  1. Branching Strategy
  2. Testing Requirements
  3. Type Sharing

For Architects

  1. PDA-Friendly Design
  2. Authentication Flow (to be added)
  3. System Overview (to be added)

For API Consumers

  1. API Conventions
  2. Authentication Endpoints

📋 Documentation Standards

File Organization

docs/
├── {N}-{book-name}/              # Book (numbered)
│   ├── README.md                 # Book overview
│   ├── {N}-{chapter-name}/       # Chapter (numbered)
│   │   ├── {N}-{page-name}.md    # Page (numbered)
│   │   └── ...
│   └── ...
└── scratchpads/                  # Development notes (unnumbered)

Numbering Convention

  • Books: 1-getting-started, 2-development, 3-architecture, 4-api
  • Chapters: 1-quick-start, 2-installation, 3-configuration
  • Pages: 1-overview.md, 2-local-setup.md, 3-docker-setup.md

Numbers maintain order in file systems and Bookstack.

Writing Style

  • Concise — No unnecessary verbosity
  • Action-oriented — Use imperative mood ("Run the command", not "You should run")
  • Example-heavy — Show, don't just tell
  • Code blocks — Always include working examples
  • Links — Cross-reference related topics
  • PDA-friendly — Follow design principles

Code Examples

Always include:

  • Language identifier for syntax highlighting
  • Complete, runnable examples
  • Expected output when relevant
  • Error cases and troubleshooting

🛠️ Contributing to Docs

Adding New Pages

  1. Identify the appropriate book/chapter
  2. Create numbered markdown file
  3. Add to chapter's parent README
  4. Link from related pages
  5. Test all links and code examples

Updating Existing Pages

  1. Keep formatting consistent
  2. Update last-modified date
  3. Test all examples
  4. Check cross-references

Creating New Books

  1. Number sequentially (5-{new-book})
  2. Create README.md overview
  3. Add chapter directories
  4. Update this index

📊 Documentation Status

Book Completion
Getting Started 🟢 Complete
Development 🟡 Partial
Architecture 🟡 Partial
API Reference 🟡 Partial

Legend:

  • 🟢 Complete
  • 🟡 Partial
  • 🔵 Planned
  • Not started

🔗 External Resources

📧 Support


Last Updated: 2026-01-28 Version: 0.0.1 (Pre-MVP)