Technical requirementsDesigning a pipeline with Haystack’s design in mindHaystack’s focus on flexibilitySteps to designing your pipelineLeveraging branchingEnsuring effective data flowVisualization and validationEnable third-party services through Haystack integrationsBuilding pipelines with Haystack: indexing, naive RAG, and hybrid RAGIndexing pipelines: preparing your knowledge baseStage 1 – Gathering and sorting (FileTypeRouter)Stage 2 – Processing (the two specialized branches)Stage 3 – Unifying, indexing, and shelvingNaive RAG – a foundational Q&A systemStage 1 – Vectorize queryStage 2 – Retrieve relevant contextStage 3 – Augment and generateHybrid RAG with reranking: the best of both worldsStage 1 – Parallel retrieval (the two experts)Stage 2 – Fusion (gathering the results)Stage 3 – Reranking (the head librarian's final check)Stage 4 – Augment and generate (the final answer)Simplifying pipeline usage through SuperComponentsMethod 1 – Wrapping an existing pipeline instanceMethod 2 – Defining a SuperComponent classBuilding multimodal pipelines: image, text, and audioStrategy 1 – Joint embeddings with CLIPStrategy 2 – LLM content extraction and vision RAGProcessing audio dataParallelization and asynchronous pipelinesSummary