llm pipelines

An overview of building Retrieval-Augmented Generation pipelines on Linux: setting up dependencies, preparing and chunking data, creating embeddings, indexing in a vector database, and connecting retrievers to an LLM. Covers CLI tooling, containerization, GPU/CPU trade-offs, orchestration tips, and troubleshooting for performance and accuracy.