Behind the serene steering of GuruAI lies a thoughtfully crafted AI pipeline that blends classical information with fashionable NLP methods. Right here’s how the system works, step-by-step:
When a consumer sorts in a query on the GuruAI chat interface — say, “How can I keep calm in tough instances?” — the system springs into motion utilizing a way known as Retrieval-Augmented Era (RAG).
As a substitute of relying solely on a generic giant language mannequin, GuruAI first faucets into its core information: the Bhagavad Gita. We’ve embedded the verses from the Gita utilizing semantic vector embeddings, and saved them in a ChromaDB — a robust vector database designed for high-performance retrieval.
As soon as a query is acquired, GuruAI makes use of semantic similarity to fetch essentially the most related verses from the Gita that align with the consumer’s question. These retrieved verses aren’t despatched to the language mannequin uncooked — they’re rigorously woven right into a few-shot immediate, offering important religious context for the LLM to generate a considerate and grounded response.
This remaining immediate is handed into Google’s Gemini LLM, which processes each the consumer’s query and the chosen verses to generate a significant, customized response.
The ensuing reply is then displayed again on the chat display screen — providing not simply textual content, however a second of peace, reflection, and probably, transformation.
Let’s have a look at the pipeline, huh 👇
