Add RAG Pipeline tutorial for Haystack 2.0 #257
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Overall this was great! Clear explanations, quick to run through. Left one small suggestion but overall, lgtm.
I'm not sure if I'm qualified to actually approve tutorials yet - maybe you want another review from @TuanaCelik? Up to you!
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| "## Overview\n", | ||
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| "This tutorial shows you how to create a generative question-answering pipeline using the retrieval-augmentation ([RAG](https://www.deepset.ai/blog/llms-retrieval-augmentation)) approach with Haystack 2.0. The process involves three main components: InMemoryBM25Retriever for fetching relevant documents, PromptBuilder for creating a template prompt, and GPTGenerator for generating responses.\n", |
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nit: it might be convenient for the reader to add links to the docs pages for these components
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| "> You can replace `GPTGenerator` in your pipeline with another `Generator`. Check out the full list of generators [here](https://docs.haystack.deepset.ai/v2.0/docs/generators)." |
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It's nice that you lowkey emphasized how Haystack is model-agnostic here :D
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| "### Visualize the Pipeline\n", | ||
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| "Draw the pipeline with the `draw()` method to confirm the connections are correct. You can find the diagram in the Files section of this Colab." |
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Thank you for specifying where you can find the file! That's very helpful for newbies.
| "source": [ | ||
| "## Overview\n", | ||
| "\n", | ||
| "This tutorial shows you how to create a generative question-answering pipeline using the retrieval-augmentation ([RAG](https://www.deepset.ai/blog/llms-retrieval-augmentation)) approach with Haystack 2.0. The process involves three main components: InMemoryBM25Retriever for fetching relevant documents, PromptBuilder for creating a template prompt, and GPTGenerator for generating responses.\n", |
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| "from haystack.telemetry import tutorial_running\n", | ||
| "\n", | ||
| "tutorial_running(27)" |
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We already have telemetry?
No description provided.