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Update Tutorial 4
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@ -186,6 +186,7 @@
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"# Get embeddings for our questions from the FAQs\n",
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"questions = list(df[\"question\"].values)\n",
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"df[\"question_emb\"] = retriever.embed_queries(texts=questions)\n",
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"df[\"question_emb\"] = df[\"question_emb\"].apply(list) # convert from numpy to list for ES indexing\n",
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"\n",
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"# Convert Dataframe to list of dicts and index them in our DocumentStore\n",
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"docs_to_index = df.to_dict(orient=\"records\")\n",
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@ -68,6 +68,7 @@ print(df.head())
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# Get embeddings for our questions from the FAQs
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questions = list(df["question"].values)
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df["question_emb"] = retriever.embed_queries(texts=questions)
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df["question_emb"] = df["question_emb"].apply(list) # convert from numpy to list for ES indexing
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# Convert Dataframe to list of dicts and index them in our DocumentStore
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docs_to_index = df.to_dict(orient="records")
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