Closed gyliu513 closed 3 months ago
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The newly introduced h1-rag.py
file implements a Retrieval-Augmented Generation (RAG) pipeline within the Haystack framework. This pipeline dynamically retrieves relevant documents and generates answers based on user queries, enhancing the question-answering capabilities of the system. Key components include an in-memory document store, a retriever, a prompt builder, and a language model generator, all working together to provide contextually relevant responses.
Files Changed | Change Summary |
---|---|
haystack/h1-rag.py |
Introduced a new file for RAG pipeline implementation. |
haystack/pipeline.py , haystack/document.py , haystack/document_stores/in_memory.py , haystack/components/retrievers/in_memory.py , haystack/components/generators.py , haystack/components/builders/prompt_builder.py , haystack/components/builders/answer_builder.py |
New usage of existing classes within the RAG pipeline. |
π
In the land of queries, oh so bright,
A RAG pipeline hops into the light!
With documents stored in memory's keep,
It fetches and generates, no time for sleep.
Ask away, dear friend, donβt be shy,
Answers will bounce back, oh my, oh my!
πΌ
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