Member-only story
Building Meera: Creating an AI that truly understands You
When we set out to build Meera, we weren’t trying to create just another AI assistant. We wanted to make something fundamentally different — an AI that doesn’t just respond to queries but truly understands context, builds memories, and grows alongside its users. This is the story of how we engineered a system that thinks more like a human companion than a traditional chatbot.
An Architecture beyond traditional RAG
At Meera’s core lies a sophisticated implementation of Retrieval-Augmented Generation (RAG), but we’ve pushed far beyond conventional approaches. Traditional RAG systems simply retrieve relevant documents and augment LLM responses. Meera orchestrates multiple layers of intelligence:
1. Multi-Layered Context Understanding
Meera doesn’t just search for related notes — she weaves together multiple layers of context:
• Immediate Context: The current conversation and active note.
• Semantic Relationships: Vector embeddings that…
