Generate content in a founder's writing style — retrieval-augmented generation grounds each piece in a real corpus, so the output reads like the source, not generic AI.
Same prompt, two outputs — standard GPT-4 with no context, versus a RAG pipeline that retrieves relevant passages from the founder's writing first. The difference is what grounding adds.
Left column — Standard GPT-4 with no context about the founder
Right column — RAG pipeline retrieves relevant chunks from a curated founder-writing corpus, then generates founder-style content
Both use the same prompt — the difference shows what retrieval-based grounding adds
From a curated founder-writing corpus to retrieval-grounded content
The app draws on a curated corpus of founder writing, chunked and embedded for retrieval.
LiveProduce founder-style content grounded in the retrieved writing.
Live — try the demo aboveUpload your own writing to ground generation in your voice.
PlannedHow retrieval-augmented generation grounds founder-style content
Writing samples are chunked and converted to 512-dimensional vectors using OpenAI's text-embedding-3-small model.
Pinecone performs similarity search to find the most relevant chunks from the founder's writing for each prompt.
GPT-4 receives retrieved context plus a voice-matching system prompt to generate content in the founder's authentic style.