**Ever thought of having an personalized tutor who assists you with your coursework and exam preparation based on your relevant digital Study Materials and resources. Summarized data helps in quick understanding of vast Concepts in terms compatible to your level of understanding. The major loophole in modern AI Chatbot Systems is post a certain point they fail to derive data relevant to the user uploaded content as the linkage between the user provided data and available web resources get misrouted.
Moreover after a speculated point arises the limit rate and time limit by the Chatbot Providers.Post this limit it would be difficult to work using these resources wouldnt be possible till the next **
An effective Solution: Enter Project Core
Think of this tool as an effective end product for knowledge and quick scope understanding of vast concepts relevant to user's level of understanding.
This tool has been architected with a Dynamic Model Orchestration Layer that acts as a hypervisor for the AI logic. It autonomously switches between Gemini 1.5 Pro (for deep reasoning), Claude Haiku (for speed), and a local Llama 3 model (for privacy) based on real-time traffic and rate limits.
If one “engine” hits a bottleneck, the system instantly swaps it out for another — zero downtime, zero lag.
I coupled this with a Qdrant-powered RAG pipeline, which gives the AI a verified “textbook” to check its answers against, making sure every output is grounded in your actual data.
This is how I moved beyond simple prompts and built a full-stack system that prioritizes trust, speed, and reliability.
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