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Build production-grade full-text search with Elasticsearch and TypeScript. Covers indexing, querying, aggregations, analyzers, and scaling patterns for Node.js backends.
Build production-grade semantic search using embeddings, vector databases, and hybrid retrieval. Covers indexing pipelines, query rewriting, re-ranking, and handling edge cases at scale.
Complete SEO guide for Next.js apps in 2026 covering metadata API, structured data, Open Graph, AI search optimization, and Core Web Vitals. For developers who want organic traffic.
Create searchable, up-to-date AI knowledge bases by ingesting documentation from Confluence and Notion with access controls, conversational search, and feedback loops.
Build research agents that search the web, score source credibility, deduplicate results, follow up on findings, and generate well-cited reports.
Master Elasticsearch index mapping, analyzer customization, multi-match queries with field boosting, pagination strategies, and shard management.