2 Commits

Author	SHA1	Message	Date
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
Apple	9b86f9a694	feat: implement RAG Service MVP with PARSER + Memory integration ... RAG Service Implementation: - Create rag-service/ with full structure (config, document_store, embedding, pipelines) - Document Store: PostgreSQL + pgvector via Haystack - Embedding: BAAI/bge-m3 (multilingual, 1024 dim) - Ingest Pipeline: Convert ParsedDocument to Haystack Documents, embed, index - Query Pipeline: Retrieve documents, generate answers via DAGI Router - FastAPI endpoints: /ingest, /query, /health Tests: - Unit tests for ingest and query pipelines - E2E test with example parsed JSON - Test fixtures with real PARSER output example Router Integration: - Add mode='rag_query' routing rule in router-config.yml - Priority 7, uses local_qwen3_8b for RAG queries Docker: - Add rag-service to docker-compose.yml - Configure dependencies (router, city-db) - Add model cache volume Documentation: - Complete README with API examples - Integration guides for PARSER and Router	2025-11-16 04:41:53 -08:00