Building a Production RAG Pipeline in TypeScript with pgvector and Next.js
A practical RAG build in TypeScript: chunk and embed documents, store vectors in Postgres with pgvector, retrieve, re-rank and answer in Next.js.
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A practical RAG build in TypeScript: chunk and embed documents, store vectors in Postgres with pgvector, retrieve, re-rank and answer in Next.js.
Astrology app development beyond sun signs: ephemeris engines, birth time and time zones, dashas and divisional charts, testing, PDF reports and AI.
What an MCP server is, how it differs from an API, and how to build one that gives your team's AI assistant safe, useful access to internal tools.
Adding AI features in mobile apps: picking the job, on-device models vs cloud APIs, safe architecture, store rules, cost per user and evaluating quality.
Treat prompts like code. Use DeepEval to write test cases, score faithfulness, relevancy, and hallucination, and run LLM regression tests in CI before you ship.