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 documentsGET /status— agent status and index statsGET /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)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| industrial_rag_agent-0.1.0.tar.gz | 11.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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.