Creating Your First QA Pipeline with Retrieval-Augmentation

InMemoryDocumentStore

SentenceTransformersDocumentEmbedder

SentenceTransformersTextEmbedder

InMemoryEmbeddingRetriever

ChatPromptBuilder

ChatGenerator

OpenAIChatGenerator

MistralChatGenerator

TransformersChatGenerator

This tutorial shows you how to create a generative question-answering pipeline using the retrieval-augmentation ( RAG) approach with Haystack. The process involves four main components: SentenceTransformersTextEmbedder for creating an embedding for the user query, InMemoryEmbeddingRetriever for fetching relevant documents, ChatPromptBuilder for creating a template prompt, and a ChatGenerator for generating the final answer.