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May 14, 2024
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Fix broken links in semantic_retrieval.ipynb #419

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4 changes: 2 additions & 2 deletions site/en/gemini-api/docs/semantic_retrieval.ipynb
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"\n",
"A common approach used to overcome these constraints is called Retrieval Augmented Generation (RAG), which augments the prompt sent to an LLM with relevant data retrieved from an external knowledge base through an Information Retrieval (IR) mechanism. The knowledge base can be your own corpora of documents, databases, or APIs.\n",
"\n",
"This notebook walks you through a workflow to improve an LLM's response by augmenting its knowledge with external text corpora and performing semantic information retrieval to answer questions using the Semantic Retriever and the Attributed Question & Answering (AQA) APIs of the [Generative Language API](../api/python/google/ai/generativelanguage).\n",
"This notebook walks you through a workflow to improve an LLM's response by augmenting its knowledge with external text corpora and performing semantic information retrieval to answer questions using the Semantic Retriever and the Attributed Question & Answering (AQA) APIs of the [Generative Language API](https://ai.google.dev/api/python/google/ai/generativelanguage).\n",
"\n",
"Note: This API is currently in [beta](https://ai.google.dev/gemini-api/docs/api-versions) and is [only available in certain regions](https://ai.google.dev/gemini-api/docs/available-regions).\n"
]
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"source": [
"## Summary and further reading\n",
"\n",
"This guide introduced the Semantic Retriever and Attributed Question & Answering (AQA) APIs of the Generative Language API and showed how you can use it to perform semantic information retrieval on your custom text data. Note that this API also works with the [LlamaIndex](https://www.llamaindex.ai/){:.external} data framework. Refer to [the tutorial](https://github.com/run-llama/llama_index/blob/main/docs/examples/managed/GoogleDemo.ipynb){:.external} to learn more.\n",
"This guide introduced the Semantic Retriever and Attributed Question & Answering (AQA) APIs of the Generative Language API and showed how you can use it to perform semantic information retrieval on your custom text data. Note that this API also works with the [LlamaIndex](https://www.llamaindex.ai/){:.external} data framework. Refer to [the tutorial](https://github.com/run-llama/llama_index/blob/main/docs/docs/examples/managed/GoogleDemo.ipynb){:.external} to learn more.\n",
"\n",
"Also refer to the [API docs](https://ai.google.dev/api) to learn more about the other available functionalities.\n"
]
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