ChatGPT is a game-changer, but it’s limited by its reliance on public data. What if you could harness the power of Large Language Models (LLMs) with your own proprietary data? That’s exactly what I’ve been experimenting with using n8n, Pinecone, and OpenAI.
The setup involves ingesting documents from Google Drive and SQL databases, creating vector embeddings using Pinecone or Qdrant, and then feeding relevant context to OpenAI. The result is an LLM that answers questions based strictly on your private files.
This approach has huge implications for companies looking to unlock the full potential of their data. By combining the capabilities of n8n, Pinecone, and OpenAI, you can:
- Create a custom knowledge graph that reflects your company’s unique data
- Develop a tailored conversational AI that speaks to your customers and employees
- Unlock new insights and revenue streams by analyzing your proprietary data
Ready to take your data to the next level? Let’s dive in and explore the possibilities.
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