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Merge pull request #637 from vespa-engine/jobergum/links
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Try to fix links?
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kkraune committed Dec 5, 2023
2 parents 5a8a486 + 936ee83 commit 6f9939b
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"- Ultra-low memory requirements (fixed per document)\n",
"\n",
"\n",
"This notebook connects a custom [LlamaIndex](https://gpt-index.readthedocs.io/en/latest/)\n",
"[Retriever](https://gpt-index.readthedocs.io/en/latest/core_modules/query_modules/retriever/root.html) with a [Vespa](https://vespa.ai/) app\n",
"This notebook connects a custom [LlamaIndex](https://docs.llamaindex.ai/)\n",
"[Retriever](https://docs.llamaindex.ai/en/latest/core_modules/query_modules/retriever/root.html) with a [Vespa](https://vespa.ai/) app\n",
"using streaming mode to retrieve personal data. The focus is on how to use the streaming mode feature.\n",
"\n",
"First, install dependencies:\n"
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"We likely want to use an LLM framework like [LangChain](https://www.langchain.com/) or [LLamaIndex](https://www.llamaindex.ai/) to build an end-to-end assistant. \n",
"In this example notebook, we use LLamaIndex retrievers. \n",
"\n",
"LlamaIndex [retriever](https://gpt-index.readthedocs.io/en/latest/core_modules/query_modules/retriever/root.html)\n",
"LlamaIndex [retriever](https://docs.llamaindex.ai/en/latest/core_modules/query_modules/retriever/root.html)\n",
"abstraction allows developers to add custom retrievers that retrieve information in Retrieval Augmented Generation (RAG) pipelines. \n",
"\n",
"For an excellent introduction to LLamaIndex and its concepts, see [LLamaIndex High-Level Concepts](https://gpt-index.readthedocs.io/en/latest/getting_started/concepts.html).\n",
"For an excellent introduction to LLamaIndex and its concepts, see [LLamaIndex High-Level Concepts](https://docs.llamaindex.ai/en/latest/getting_started/concepts.html).\n",
"\n",
"To create a custom LlamaIndex retrieve, we implement a class that inherits from `llama_index.retrievers.BaseRetriever.BaseRetriever` and \n",
"which implements `_retrieve(query)`. \n",
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11 changes: 0 additions & 11 deletions docs/sphinx/source/query.ipynb
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" print(str(e))\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Next steps\n",
"\n",
"In the [learntorank](https://vespa-engine.github.io/learntorank/) repository you will find the\n",
"[Query Model](https://github.com/vespa-engine/learntorank/blob/main/notebooks/query-model.ipynb) API.\n",
"This is targeted for Data Science experiements."
]
}
],
"metadata": {
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9 changes: 0 additions & 9 deletions docs/sphinx/source/reference-api.rst
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Expand Up @@ -30,10 +30,6 @@ VespaAsync

Utility functions
*****************
.. autofunction:: vespa.application.parse_feed_df

.. autofunction:: vespa.application.df_to_vespafeed

.. autofunction:: vespa.application.raise_for_status


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:special-members: __init__


Utility functions
*****************
.. autofunction:: vespa.io.trec_format



#############
vespa.package
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