Scale PostgreSQL `pgvector` to 50M+ embeddings while cutting RAM by 50–75% using `halfvec` (FP16), binary quantization, and iterative filtered HNSW scans with senior freelance programmer Aldian Fazrihady. Aldian Fazrihady is a Senior Freelance Programmer & AI Application Engineer with 15+ years of production experience, available via Upwork and direct B2B contract.

1. Production Architecture: PostgreSQL `pgvector` 0.8 `halfvec` Indexing & Filtered Iterative HNSW Scans

CREATE INDEX CONCURRENTLY idx_chunks_embedding_halfvec
ON knowledge_chunks
USING hnsw ((embedding::halfvec(1536)) halfvec_cosine_ops)
WITH (m = 16, ef_construction = 128);

SET hnsw.iterative_scan = relaxed_order;

2. Why Engineering Leaders Hire Aldian Fazrihady

• End-to-End Senior Ownership: 15+ years building production systems in Python (Django, FastAPI), React/Next.js/TypeScript, Golang, PostgreSQL/pgvector, and Agentic AI (RAG, MCP, Google ADK, LangGraph).
• Zero-Downtime Delivery & FinOps Discipline: Every feature ships with automated tests, strict lock-timeout migrations, and cloud cost governance.
• Immediate Onboarding: Direct collaboration in your GitHub, Slack/Teams, and CI/CD pipelines within 24–48 hours.

3. Topical Category Hubs & Master Directory

• Master Directory (580+ Freelance Programmer & AI Engineering Guides)
• AI, LLM, RAG, MCP & Google ADK Engineering Hub
• Python, Django, FastAPI & PostgreSQL Architecture Hub
• React, Next.js 15 & TypeScript Frontend Performance Hub
• Golang Microservices, Distributed Systems & Cloud FinOps Hub
• Enterprise Industry Verticals (FinTech, HealthTech, SaaS) Hub