4df7450461
- 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
45 lines
1.4 KiB
YAML
45 lines
1.4 KiB
YAML
apiVersion: v1
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kind: ConfigMap
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metadata:
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name: rag-init-sql
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namespace: customer1
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data:
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rag-db-init.sql: |
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-- Enable pgvector extension
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CREATE EXTENSION IF NOT EXISTS vector;
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-- Documents table for RAG knowledge base
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CREATE TABLE IF NOT EXISTS documents (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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content TEXT NOT NULL,
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metadata JSONB DEFAULT '{}'::jsonb,
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embedding vector(768),
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created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
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updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
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);
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-- HNSW index for vector similarity search (cosine distance)
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CREATE INDEX IF NOT EXISTS idx_documents_embedding_hnsw
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ON documents USING hnsw (embedding vector_cosine_ops);
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-- Full-text search index
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CREATE INDEX IF NOT EXISTS idx_documents_content
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ON documents USING gin (to_tsvector('english', content));
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-- Metadata filter index
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CREATE INDEX IF NOT EXISTS idx_documents_metadata
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ON documents USING gin (metadata);
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-- Auto-update updated_at timestamp
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CREATE OR REPLACE FUNCTION update_documents_updated_at()
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RETURNS TRIGGER AS $$
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BEGIN
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NEW.updated_at = now();
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RETURN NEW;
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END;
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$$ LANGUAGE plpgsql;
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CREATE TRIGGER trg_documents_updated_at
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BEFORE UPDATE ON documents
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FOR EACH ROW
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EXECUTE FUNCTION update_documents_updated_at();
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