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consolidate Embedding.create calls into one (#543)

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ancri 2023-07-20 23:20:04 -04:00 committed by GitHub
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1 changed files with 7 additions and 11 deletions
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examples/vector_databases/pinecone/Gen_QA.ipynb
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@ -673,17 +673,13 @@
" # get texts to encode\n",
" texts = [x['text'] for x in meta_batch]\n",
" # create embeddings (try-except added to avoid RateLimitError)\n",
" try:\n",
" res = openai.Embedding.create(input=texts, engine=embed_model)\n",
" except:\n",
" done = False\n",
" while not done:\n",
" sleep(5)\n",
" try:\n",
" res = openai.Embedding.create(input=texts, engine=embed_model)\n",
" done = True\n",
" except:\n",
" pass\n",
" sleep(5)\n",
" embeds = [record['embedding'] for record in res['data']]\n",
" # cleanup metadata\n",
" meta_batch = [{\n",