Hermes Agent 4df7450461 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
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app.py	feat(customer1): add pgvector RAG knowledge base with embedding service	2026-05-24 20:31:59 +00:00
Dockerfile.embedding	feat(customer1): add pgvector RAG knowledge base with embedding service	2026-05-24 20:31:59 +00:00
embedding-deployment.yaml	feat(customer1): add pgvector RAG knowledge base with embedding service	2026-05-24 20:31:59 +00:00
requirements.txt	feat(customer1): add pgvector RAG knowledge base with embedding service	2026-05-24 20:31:59 +00:00