Build RAG-Ready Data Pipelines from Scraped Web Data (Python)
Actowiz Solutions presents a step-by-step tutorial on building RAG-ready data pipelines from scraped web content using Python. Learn how to clean and normalize data, split content into meaningful chunks, generate embeddings, and ingest data into vector databases. Follow practical code examples to prepare structured, searchable knowledge bases that support retrieval-augmented generation (RAG) and reliable AI applications.