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 0.2.3

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Source distribution for industrial-rag-agent 0.2.3
File	Size	Uploaded	Provenance
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Table of built distributions (wheels) for industrial-rag-agent 0.2.3
File	Interpreter	ABI	Platform	Reset
industrial_rag_agent-0.2.3-py3-none-any.whl 19.7 kB Oct 28, 2026 Without provenance	Python 3	none	any	Details

Total release size: 37.3 kB

Release files / industrial_rag_agent-0.2.3.tar.gz

Download URL	industrial_rag_agent-0.2.3.tar.gz
Size	17.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`0dbd0c9a78b5bc1ee17fefd17e8bc3e0716636f59abc536808624c0355b8c01a`
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Uploaded via	`twine/7.0.0 CPython/3.13.17`

Release files / industrial_rag_agent-0.2.3-py3-none-any.whl

Download URL	industrial_rag_agent-0.2.3-py3-none-any.whl
Size	19.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`16826111db07b9eece642f0e8f0617e818a05561dc8c9a71e3ac0108fc98b0c6`
BLAKE2b-256 checksum How to use checksums	`abdfbac86eddf925bef93ebea25d24bcb40a91df54e6beba27a60312a72834f9`
Upload date	Oct 28, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.17`

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