AlterMind

Altermind lets anyone build a branded, GPT-level AI expert in under three minutes. Simply drag-and-drop your documents, click “Train”, and deploy a secure, multilingual widget that answers questions, summarizes content and boosts conversions—all without writing a single line of code.

Vector Database & Embedding Engine

Altermind’s ingestion pipeline first chunks text from 40-plus file formats into semantic units. Each chunk is converted into 1,536-dimensional embeddings via an in-house, fine-tuned transformer model optimized for retrieval accuracy. These embeddings are stored in a high-performance vector database (Pinecone-like) that supports sub-50 ms ANN (approximate nearest-neighbour) queries even at enterprise scale.

Context-Aware Prompt Orchestration

When a user asks a question, the system retrieves the most semantically relevant chunks, injects them into a dynamic prompt template, and feeds the enriched prompt to a fine-tuned GPT-4-class model. Temperature, top-p and token budget are auto-adjusted based on the detected domain—legal documents trigger stricter factuality settings, while marketing copy gets more creative leeway.

Reinforcement Learning from Human Preferences (RLHF)

Every thumbs-up or thumbs-down on an answer is logged and used to re-train a reward model. This RLHF loop runs weekly, meaning your AI assistant becomes measurably more accurate for your specific corpus over time.