Industrial RAG Agent

Local document indexer for Industrial AI Agents SaaS.

Runs on the client's computer — documents never leave their network.

How it works

📁 Document Folder
    ↓ (file watcher)
📄 Text Extraction (PDF, DOCX, XLSX, TXT/CSV)
    ↓ (+ OCR for scanned PDFs)
🗃️ SQLite FTS5 Index (local)
    ↓
🌐 Local API (localhost:3847/search)
    ↓
☁️ Industrial AI Agents (cloud) queries this endpoint

Install

pip install industrial-rag-agent

Quick Start

# 1. Configure
industrial-rag-agent configure

# 2. Start (watches folders + runs API)
industrial-rag-agent start

Commands

Command	Description
`configure`	Interactive setup (API key, folders, port)
`start`	Start watcher + local API server
`index`	One-time index of all existing documents
`search`	Search from the command line
`status`	Show index statistics

OCR Support

OS	Engine	Install Required?
macOS	Apple Vision (Neural Engine)	No — built in
Windows	Tesseract OCR	Yes
Linux	Tesseract OCR	Yes

API Endpoints

GET /search?q=keyword&limit=5 — search indexed documents
GET /status — agent status and index stats
GET /health — health check

Requirements

Python 3.11+
Tesseract OCR (Windows/Linux only)

Metadata

Release files for industrial-rag-agent 0.1.4

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Source distribution for industrial-rag-agent 0.1.4
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industrial_rag_agent-0.1.4-py3-none-any.whl 14.4 kB Oct 22, 2026 Without provenance	Python 3	none	any	Details

Total release size: 26.9 kB

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Download URL	industrial_rag_agent-0.1.4.tar.gz
Size	12.6 kB
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Uploaded via	`twine/7.0.0 CPython/3.14.4`

Release files / industrial_rag_agent-0.1.4-py3-none-any.whl

Download URL	industrial_rag_agent-0.1.4-py3-none-any.whl
Size	14.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`838857ece1f27befc9b47df07a63fbb19adbe785f3b1ef946aacd2382b1c05df`
BLAKE2b-256 checksum How to use checksums	`558711f9e9865fc0c97f95d8e551c6970b4332f6d118e713abcee01577d561ec`
Upload date	Oct 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.4`

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