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How AI ‘digital minds’ startup Delphi stopped drowning in user data and scaled up with Pinecone
Delphi envisions millions of Digital Minds active across domains and audiences. Pinecone sees its database as the retrieval layer.
Delphi, a two-year-old San Francisco AI startup named after the Ancient Greek oracle, was facing a thoroughly 21st-century problem: its “Digital Minds” — interactive, personalized chatbots modeled after an end-user and meant to channel their voice based on their writings, recordings, and other media — were drowning in data. As covered in Pinecone’s own writings on context engineering, retrieval helps manage the finite attention span of language models by curating the right mix of user queries, prior messages, documents, and memories to keep interactions coherent over time. When VentureBeat first profiled Delphi in 2023, the company was fresh off raising $2.7 million in seed funding and drawing attention for its ability to create convincing “clones” of historical figures and celebrities.
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