AI Meal Planner

Input your food choice, energy requirements for a healthy recipe suggested by our RAG Solution.

How it works?

Our AI Meal Planner blends LLM with RAG-like architecture

Step 1: Dynamically assemble your input into a structured, context-rich prompt

User Input

Step 2. Retrieve the most relevant knowledge from vector database

Retrieval-Augmented Generation (RAG)

Step 3: Feed the information into the LLM's response generation process - for a full recipe with nutrients breakdown and justifications

Large Language Models (LLMs)

Your Recipe

Input in above form

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