Intelligent Q&A with GPT-3

What it does

Intelligent question-answering and search for user interviews, powered by GPT-3. Summ starts with a corpus of user interview transcripts. These can be in any text format, such as exports from Otter.ai . We flow these through a pipeline: Import -> Split -> Classify | Factify | Structure | Summarize -> Embed to create a model which can answer questions across your entire dataset. Vector embeddings are persisted to Pinecone . Finally, we enable flexible Querying , following a recursive question-answering scheme. You'll also need to set three environment variables: OPENAI_API_KEY , PINECONE_API_KEY , and PINECONE_ENVIRONMENT . You can confirm that summ installed properly by running the built-in…from summ.readthedocs.io

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