Skip to main content

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 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for industrial-rag-agent 0.1.0
File Size Uploaded Provenance
industrial_rag_agent-0.1.0.tar.gz 11.3 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for industrial-rag-agent 0.1.0
File Interpreter ABI Platform
industrial_rag_agent-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 24.4 kB

Release files / industrial_rag_agent-0.1.0.tar.gz

Download URL industrial_rag_agent-0.1.0.tar.gz
Size 11.3 kB
Tags Source
SHA-256 checksum
How to use checksums
cbe9abb24751c3946357b6eb24976a895c356fe96de16ab303f12662d3e6be3c
BLAKE2b-256 checksum
How to use checksums
7520039ea184a784de82a43c4d9164f24a1e7d87e5df9407afe318fb1a44095a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / industrial_rag_agent-0.1.0-py3-none-any.whl

Download URL industrial_rag_agent-0.1.0-py3-none-any.whl
Size 13.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9c9ccab01de383a8f778adeeb5dca20f41c9ae0eddd5678616de1348d252a882
BLAKE2b-256 checksum
How to use checksums
84c5d25aa3f35c1b2a88a22d1a43f4a01ee4aa54743a779c63bc3de6983a89ba
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Security for industrial-rag-agent 0.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page