1. Boost full-text search performance using GIN and trigram-based indexing strategies

• Implement GIN (Generalized Inverted Index) on tsvector columns to power efficient full-text search across customer notes, descriptions, product catalogs, and documents.
• Use pg_trgm (trigram) indexing to enable fast fuzzy matching and partial word search—ideal for situations where users mistype or abbreviate names.

2. Speed Up Large-Scale Searches

• Create partial indexes targeting frequently used filters or search conditions to reduce scan times and improve performance.
• Apply covering indexes to serve common queries entirely from index structures, minimizing disk access.

3. Enable Typo-Tolerant & Case-Insensitive Search

• Implement ILIKE, pg_trgm, and word_similarity functions to allow more flexible search experiences.
• Improve usability with case-insensitive and approximate matching, so users find relevant results even when their inputs aren’t exact.

4. Reduce ORM Overhead in Search Operations

• Analyze and rewrite inefficient ORM-generated queries that slow down search-intensive modules.
• Replace verbose ORM logic with optimized raw SQL or PostgreSQL functions that return results faster and with less resource consumption.