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Daily Pathway examples refresh
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Co-authored-by: Manul from Pathway <[email protected]>
GitOrigin-RevId: 766ae9b37c35df9f54aa9b1440248d8c4fb93e97
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Pathway-Dev and Manul from Pathway committed Jan 17, 2025
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2 changes: 1 addition & 1 deletion examples/notebooks/showcases/adaptive_rag_question_answering.ipynb
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"source": [
"## Trying it out\n",
"\n",
"We provide an implementation of the Adaptive RAG in the [Pathway](https://pathway.com/developers) data processing framework. Pathway is your one-stop-shop for building realtime data processing pipelines, from simple ETL to synchronizing and indexing document collections into knowledge bases. The Pathway [LLM Xpack](/developers/user-guide/llm-xpack/overview/) is a set of pipeline components that are useful in working with LLMs: [auto-updating vector stores](/developers/user-guide/llm-xpack/vectorstore_pipeline/), [RAGs](/solutions/rag-pipelines) and [many more LLM examples](https://github.com/pathwaycom/llm-app).\n",
"We provide an implementation of the Adaptive RAG in the [Pathway](https://pathway.com/developers) data processing framework. Pathway is your one-stop-shop for building realtime data processing pipelines, from simple ETL to synchronizing and indexing document collections into knowledge bases. The Pathway [LLM Xpack](/developers/user-guide/llm-xpack/overview/) is a set of pipeline components that are useful in working with LLMs: [auto-updating vector stores](/developers/user-guide/llm-xpack/docs-indexing/), [RAGs](/solutions/rag-pipelines) and [many more LLM examples](https://github.com/pathwaycom/llm-app).\n",
"If you are interested in how Adaptive RAG is implemented inside Pathway, you can [dive into the internals directly here](https://github.com/pathwaycom/pathway/blob/main/python/pathway/xpacks/llm/question_answering.py#L37)."
]
},
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110 changes: 55 additions & 55 deletions examples/notebooks/tutorials/asynctransformer.ipynb
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2 changes: 1 addition & 1 deletion examples/notebooks/tutorials/option-greeks.ipynb
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