AI & Machine LearningLive in Production2026

BaseParse

Autonomous Ingestion Pipeline & Multimodal Document Intelligence Engine

Deployment Status

Verified Active • Monitored by Zicodex Labs

Architecture Overview

BaseParse is an autonomous document processing and retrieval-augmented generation (RAG) platform. Engineered with Next.js 15, an asynchronous Python worker backend, and Redis RQ queues, it converts unstructured PDFs, complex technical schematics, and LaTeX equations into AI-ready semantic chunks and vector embeddings. It incorporates Google Gemini 1.5 Pro and Flash-Lite models with ephemeral containerized processing for absolute data security.

Key Capabilities & Highlights

Instant synchronous OCR via Gemini 3.1 Flash-Lite / 1.5 Pro

Asynchronous high-accuracy extraction with background Python RQ workers

Formula & LaTeX mathematical extraction with high-fidelity visual reasoning

Automated vector chunking and PostgreSQL pgvector integration

Zero-retention ephemeral containers ensuring enterprise SOC2 compliance

Technical Stack

Next.js 15Python FastAPIGoogle Gemini VLMRedis RQPostgreSQLpgvectorDocker

Security Assurance

Audited against automated injection vulnerabilities, verified memory deallocation, and compliant with enterprise data protection standards.