RAG pipeline

3 items

ARTICLEDEV.to AI·24d ago

Building a Production-Ready Content Pipeline for an AI Knowledge Base (Real Architecture, Real Numbers)

This content describes building a production-ready content ingestion pipeline for an AI knowledge base, moving beyond simple tutorials to address real-world challenges like processing thousands of articles. It details a five-stage architecture: Fetch, Extract, Dedup, Score, Route, and Store, emphasizing reliable HTML extraction using Mozilla's Readability algorithm.

data ingestion RAG pipeline content pipeline AI knowledge base

ARTICLEDEV.to AI·24d ago

How I Built a Production Content Pipeline for a Developer Knowledge Base

This article details the construction of a production-scale content ingestion pipeline for a developer knowledge base. It addresses challenges like noise, duplication, and quality scoring, describing the stages of Fetch, Extract, Dedup, Score, Route, Store, and CDN, and highlighting the use of Mozilla's Readability algorithm.

RAG pipeline production architecture Content ingestion knowledge base

ARTICLEDEV.to AI·4/10/2026

pgvector with LangChain: Build a RAG Pipeline on PostgreSQL

O texto discute a abstração de vectorstore do LangChain, comparando a escolha entre soluções dedicadas (como Pinecone) e pgvector para usuários de PostgreSQL. Ele destaca os benefícios do pgvector, como a co-localização de dados e a ausência de pipelines de sincronização, para a construção de um pipeline RAG completo.

LangChain RAG pipeline pgvector Vectorstore