What does building a RAG pipeline in Python from scratch involve?

Chunk docs, embed with sentence-transformers, store in ChromaDB, retrieve, generate. 100 lines max.

Can I run RAG without OpenAI API costs?

Absolutely—pair with Ollama for local LLMs. Zero tokens, full privacy.

Local, free, embeddable. Pinecone's managed, but you're vendor-trapped.

Imagine your chatbot inventing company policies on the fly. RAG stops that cold by feeding LLMs your actual documents first.

theAIcatchup Apr 10, 2026 4 min read

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#ChromaDB #LLM embeddings #LLM hallucination fix #LLM hallucinations #Python AI #Python RAG #RAG pipeline #Retrieval-Augmented Generation #python tutorial #vector embeddings

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