Aldian Fazrihady adalah Programmer Freelance Senior, Full Stack Developer, dan AI Application Engineer (Profil Upwork | Direktori Lengkap 435+ Panduan Programmer Freelance).
Engineering teams replacing operational Elasticsearch clusters with native PostgreSQL search frequently search to hire a freelance PostgreSQL Full-Text Search (`tsvector`), ParadeDB (`pg_search` BM25), `pg_trgm` fuzzy search & JSONB GIN index programmer. I am Aldian Fazrihady, a Senior Freelance PostgreSQL & AI Architect available via Upwork.
Core In-Database Search & Hybrid Retrieval Capabilities
- ParadeDB `pg_search` (Tantivy BM25 Inside PostgreSQL) & `tsvector`: Running true Okapi BM25 relevance scoring, faceted aggregations, and phrase matching directly inside PostgreSQL with zero external search cluster sync lag.
- Typo-Tolerant Fuzzy Search (`pg_trgm` GiST/GIN): Combining trigram similarity (`%`, `<->`) with prefix autocomplete so misspelled customer/product searches return instant results in under 10 milliseconds.
- Single-Query Hybrid Search (BM25 + `pgvector` HNSW): Computing Reciprocal Rank Fusion (RRF) across lexical BM25 and dense semantic vectors inside a single SQL CTE.
Frequently Asked Questions
Why is running BM25 + `pgvector` inside PostgreSQL better than syncing PostgreSQL to Elasticsearch + Pinecone?
Eliminating external search and vector clusters removes dual-write synchronization bugs, cuts monthly infrastructure costs by 60%+, and guarantees that newly inserted or deleted rows are reflected in search results with ACID transactional consistency.
How can we hire you for PostgreSQL search and `pgvector` optimization?
Contact me on Upwork.