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30 lines
1.6 KiB
Markdown
30 lines
1.6 KiB
Markdown
# ElasticDocs_GPT
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Combining the search power of Elasticsearch with the Question Answering power of GPT
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[Blog - ChatGPT and Elasticsearch: OpenAI meets private data](https://www.elastic.co/blog/chatgpt-elasticsearch-openai-meets-private-data)
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1. Python interface accepts user questions
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- Generate a hybrid search request for Elasticsearch
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- BM25 match on the title field
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- kNN search on the title-vector field
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- Boost kNN search results to align scores
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- Set size=1 to return only the top scored document
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2. Search request is sent to Elasticsearch
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3. Documentation body and original url are returned to python
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4. API call is made to OpenAI ChatCompletion
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- Prompt: "answer this question <question> using only this document <body_content from top search result>"
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5. Generated response is returned to python
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6. Python adds on original documentation source url to generated response and prints it to the screen for the user
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# Examples
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