053e8fc63b
### Updated Epic 4 Documentation - Enhanced Story 4.3: Multi-video Analysis with Multi-Agent System - Three perspective agents (Technical, Business, User) - Synthesis agent for unified summaries - Integration with existing AI ecosystem - Increased effort from 28 to 40 hours - Enhanced Story 4.4: Custom Models & Enhanced Markdown Export - Executive summary generation (2-3 paragraphs) - Timestamped sections with [HH:MM:SS] format - Enhanced markdown structure with table of contents - Increased effort from 24 to 32 hours - Enhanced Story 4.6: RAG-Powered Video Chat with ChromaDB - ChromaDB vector database integration - RAG implementation using existing test patterns - Chat interface with timestamp source references - DeepSeek integration for AI responses ### Epic Effort Updates - Total Epic 4 effort: 126 → 146 hours - Remaining work: 72 → 92 hours - Implementation timeline extended to 4-5 weeks 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| README | ||
| alembic.ini.mako | ||
| env.py | ||
| script.py.mako | ||
README
Rudimentary multi-database configuration. Multi-DB isn't vastly different from generic. The primary difference is that it will run the migrations N times (depending on how many databases you have configured), providing one engine name and associated context for each run. That engine name will then allow the migration to restrict what runs within it to just the appropriate migrations for that engine. You can see this behavior within the mako template. In the provided configuration, you'll need to have `databases` provided in alembic's config, and an `sqlalchemy.url` provided for each engine name.