gcloud-lab/apps/base/customer1/embedding-service/requirements.txt

fastapi==0.115.0
uvicorn[standard]==0.32.0
sentence-transformers==3.3.0
torch==2.5.1
transformers==4.46.0
numpy==2.1.0
pydantic==2.10.0
feat(customer1): add pgvector RAG knowledge base with embedding service - Custom PostgreSQL 15.2 image with pgvector 0.8.0 extension - Updated pg-cluster-hermes.yaml: custom image, sharedPreloadLibraries, maintenance_work_mem - RAG schema: documents table with vector(768) embeddings + HNSW index - RAG init job: ConfigMap + Job to apply schema to agent_memory db - Embedding service: FastAPI with nomic-embed-text-v1.5 - OpenAI-compatible /v1/embeddings endpoint - Deployment (1 replica, 2Gi-4Gi memory) + Service manifests - Updated kustomization.yaml to include new resources 2026-05-24 20:31:59 +00:00			`fastapi==0.115.0`
			`uvicorn[standard]==0.32.0`
			`sentence-transformers==3.3.0`
			`torch==2.5.1`
			`transformers==4.46.0`
			`numpy==2.1.0`
			`pydantic==2.10.0`