data ingestion

2 items

ARTICLEDEV.to AI·25d 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·12d ago

Why Most RAG Pipelines Fail in Production

This article explores why most RAG (Retrieval-Augmented Generation) pipelines fail in production, contrasting the simplicity of demos with the complexity and messiness of real-world datasets. It highlights the challenges of AI systems engineering, particularly in data ingestion for scaling RAG to production environments.

data ingestion LLMs production RAG