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AI Document Manager

EnergyFile

An AI document manager that lets you ask questions about your research library and get cited answers.

Research file archive with publisher sources

EnergyFile (Research File Manager) is an intelligent document management system powered by Retrieval-Augmented Generation. Store research documents — PDF, Word, Excel, PowerPoint — and search them by meaning, not just keywords.

Ask natural-language questions and get AI answers with citations and page references. Google Gemini provides embeddings and chat, Qdrant powers semantic search, and a background worker indexes files asynchronously — with subscription-tier access control throughout.

Features

AI Q&A with Citations

Ask about your documents and get answers with page-level citations.

Semantic Search

Vector embeddings (Gemini + Qdrant) find documents by meaning.

Multi-Format Ingest

PDF (with OCR), DOCX, XLSX, PPTX, TXT and Markdown.

Persistent Chat Widget

A floating AI assistant on every page — zero context switching.

Background Indexing

An arq worker indexes files asynchronously without blocking.

Tiered Access Control

Chunk-level filtering shows users only the files their tier allows.

Collections

Organize files by products, publishers, tags and categories.

Usage Analytics

Indexing progress, activity timelines, and action distribution.

OTP & Google Login

SMS one-time-password and Google account sign-in.

Brief & Compare

AI document summaries and side-by-side comparison.

Screenshots

Research file archive with publisher sources
Research file archive with publisher sources
File browser — 3,000+ documents across 8 publishers
File browser — 3,000+ documents across 8 publishers
Document preview with metadata and download
Document preview with metadata and download
AI assistant — answers cited from your documents
AI assistant — answers cited from your documents
Subscription panel with tier and entitlements
Subscription panel with tier and entitlements
Admin panel sign-in
Admin panel sign-in

Key advantages

Private knowledge base

RAG over your own documents — not the public web.

Answers you can trust

Every answer cites the source document and page.

Bilingual & RTL

Full Persian and English with Persian text normalization.

Scales with a worker queue

Async indexing handles large libraries without blocking the app.

How it compares

Capability EnergyFile Notion AIPerplexityConfluence + AI
RAG over private files ~~
Citations with page refs
Multi-format ingest + OCR ~~
Tier-based access control ~
Persian / RTL ~~~
Self-hostable ~

Notion AI, Perplexity and Confluence are capable tools; EnergyFile targets private research libraries with citation-grade RAG, tiered access, and Persian support.

Pricing

Subscribe on our servers, or licence it for your own.

Prices in USD, paid in cryptocurrency.

Reader

$15 /mo

Cancel anytime

  • Limited AI questions per month
  • Semantic search across your library
  • Single collection/publisher access
Most popular

Researcher

$39 /mo

Cancel anytime

  • Unlimited AI Q&A with citations
  • Access to all publishers/collections
  • Document brief & compare

Institutional

Contact for pricing

  • Unlimited seats
  • API access
  • Custom collections & onboarding
Talk to sales

Built with

FastAPIMongoDBQdrantGoogle GeminiarqNext.jsAnt DesignRedis

Try EnergyFile today

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