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examples/Search_augmented_by_query_generation_and_embeddings_reranking.ipynb
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"source": [
"# Search augmented by query generation and embeddings reranking\n",
"\n",
"Searching for relevant information can sometimes be like looking for a needle in a haystack, but don’t despair, GPTs can actually do a lot of this work for us. In this guide we explore a way to augment existing search systems with various AI techniques, helping us sift through the noise.\n",
"Searching for relevant information can sometimes feel like looking for a needle in a haystack, but don’t despair, GPTs can actually do a lot of this work for us. In this guide we explore a way to augment existing search systems with various AI techniques, helping us sift through the noise.\n",
"\n",
"There are two prominent approaches to using language models for information retrieval:\n",
"\n",