Apple
|
4601c6fca8
|
feat: add Vision Encoder service + Vision RAG implementation
- Vision Encoder Service (OpenCLIP ViT-L/14, GPU-accelerated)
- FastAPI app with text/image embedding endpoints (768-dim)
- Docker support with NVIDIA GPU runtime
- Port 8001, health checks, model info API
- Qdrant Vector Database integration
- Port 6333/6334 (HTTP/gRPC)
- Image embeddings storage (768-dim, Cosine distance)
- Auto collection creation
- Vision RAG implementation
- VisionEncoderClient (Python client for API)
- Image Search module (text-to-image, image-to-image)
- Vision RAG routing in DAGI Router (mode: image_search)
- VisionEncoderProvider integration
- Documentation (5000+ lines)
- SYSTEM-INVENTORY.md - Complete system inventory
- VISION-ENCODER-STATUS.md - Service status
- VISION-RAG-IMPLEMENTATION.md - Implementation details
- vision_encoder_deployment_task.md - Deployment checklist
- services/vision-encoder/README.md - Deployment guide
- Updated WARP.md, INFRASTRUCTURE.md, Jupyter Notebook
- Testing
- test-vision-encoder.sh - Smoke tests (6 tests)
- Unit tests for client, image search, routing
- Services: 17 total (added Vision Encoder + Qdrant)
- AI Models: 3 (qwen3:8b, OpenCLIP ViT-L/14, BAAI/bge-m3)
- GPU Services: 2 (Vision Encoder, Ollama)
- VRAM Usage: ~10 GB (concurrent)
Status: Production Ready ✅
|
2025-11-17 05:24:36 -08:00 |
|
Ivan Tytar
|
3cacf67cf5
|
feat: Initial commit - DAGI Stack v0.2.0 (Phase 2 Complete)
- Router Core with rule-based routing (1530 lines)
- DevTools Backend (file ops, test execution) (393 lines)
- CrewAI Orchestrator (4 workflows, 12 agents) (358 lines)
- Bot Gateway (Telegram/Discord) (321 lines)
- RBAC Service (role resolution) (272 lines)
- Structured logging (utils/logger.py)
- Docker deployment (docker-compose.yml)
- Comprehensive documentation (57KB)
- Test suites (41 tests, 95% coverage)
- Phase 4 roadmap & ecosystem integration plans
Production-ready infrastructure for DAARION microDAOs.
|
2025-11-15 14:35:24 +01:00 |
|