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AI & Software · 2024 · in progress

Vedjyotiai AI Platform

Modern AI software application exploring domain-specific knowledge retrieval and intelligence pipelines.

PythonNext.jsTypeScriptAI/ML PipelinesVector IndexingAPI Architecture

01 / Overview

An AI-driven software initiative exploring specialized reasoning workflows and structured data retrieval. Designed to deliver contextual domain insights through clean user interfaces and intelligent search pipelines.

02 / Problem

Extracting actionable answers from domain-specific literature often fails with standard generic web searches due to hallucination and lack of canonical reference indexing.

03 / Contribution

Architected system requirements, user interaction interface, prompt parsing pipelines, and frontend application.

04 / System architecture

Physical + hardware

  • Cloud computing cluster with edge caching layers for rapid inference delivery
  • Secure document storage with metadata indices

Firmware + software

  • Next.js React frontend framework with Tailwind CSS design system
  • Backend API processing pipeline with tokenization and semantic indexing
  • Query classification layer routing technical vs conversational inquiries

Signal flowClient query -> Edge middleware -> Vector index retrieval -> Context injection -> Model generation.

05 / Engineering decisions

  1. 01Implemented clean semantic partitioning to avoid overwhelming inference token limits.
  2. 02Designed a distraction-free technical interface focusing on clarity and citation provenance.

06 / Results + constraints

Observed results

  • Successfully parses and contextualizes structured domain queries in prototype environment.
  • Ultra-clean obsidian visual theme ensuring comfortable prolonged reading sessions.

Current limitations

  • Knowledge corpus ingestion pipeline is undergoing automated ingestion testing.
  • Public access is currently gated for internal validation.