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To do that, you need to add the meta data manually. If you are completing this tutorial https://haystack.deepset.ai/tutorials/03_scalable_qa_system. Modify indexing_pipeline.run_batch(file_paths=files_to_index) to |
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I'm modifying the Haystack tutorial notebook in Colab to make a basic extractive QA system with my own text files. Everything works great, but now I want to link each answer back to its original .txt file.
In the Preparing Documents section, the TextIndexingPipeline processes a list of file paths into a
DocumentStore
, splitting the files into smaller chunks, but the resultingDocument
objects don't have any metadata. Can I modify the pipeline to add the original file path to each document's metadata?Beta Was this translation helpful? Give feedback.
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