Blog Category
LLM applications, RAG, and applied machine intelligence.
A proof-of-concept reference architecture for retrieval-augmented generation: how to ingest, chunk, embed, retrieve, rerank, and generate grounded answers — with the stack and trade-offs that hold up in production.
Appstallions Engineering Team ·
An AI demo that impresses in a meeting is not yet a product. What changes on the road to production: evaluation, guardrails, cost control, and monitoring.
Appstallions Engineering Team ·
Retrieval-augmented generation lets AI answer questions from your own documents. A plain-language guide to how RAG works, what it costs, and where it fits.
Appstallions Engineering Team ·
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