Supported File Types

Retriqs can ingest a wide range of document, data, markup, configuration, log, script, and source-code formats.

This makes it possible to build a graph from mixed knowledge sources instead of relying on a single file type.

Last updated: April 4, 2026

Prerequisites

  • A working installation of the Retriqs app

Why this matters

Knowledge is rarely stored in one format.

In practice, useful information is often spread across:

  • documents
  • spreadsheets
  • presentations
  • exported data
  • web pages
  • configuration files
  • codebases
  • logs

Retriqs supports all of these categories so that a storage can reflect how real information is actually distributed.

Supported formats

Retriqs currently supports the following file types.

Documents and text

  • TXT
  • MD
  • DOCX
  • PDF
  • RTF
  • ODT
  • EPUB

Presentations and spreadsheets

  • PPTX
  • XLSX
  • CSV

Web, markup, and structured content

  • HTML
  • HTM
  • TEX
  • JSON
  • XML
  • YAML
  • YML

Logs and configuration files

  • LOG
  • CONF
  • INI
  • PROPERTIES
  • SQL

Scripts and shell files

  • BAT
  • SH

Source code

  • C
  • CPP
  • PY
  • JAVA
  • JS
  • TS
  • SWIFT
  • GO
  • RB
  • PHP
  • CSS
  • SCSS
  • LESS

What this means in practice

You can use Retriqs to index knowledge from many different kinds of working material.

Examples include:

  • internal notes in Markdown or text files
  • PDFs and Word documents
  • slide decks and spreadsheets
  • exported configuration and structured data
  • code repositories and scripts
  • logs and SQL files

This is especially useful when the information needed to answer a question is spread across different sources and file types.

Typical use cases

These formats make Retriqs useful for workflows such as:

  • documentation retrieval
  • codebase understanding
  • product and engineering knowledge graphs
  • technical research collections
  • configuration and operations reference
  • mixed-source knowledge packs

Notes

A few practical points:

  • support for a file extension means the file can be uploaded and processed by Retriqs
  • retrieval quality still depends on the quality and structure of the source content
  • large uploads can take time to process
  • building a graph from raw files is usually slower than importing an existing graph archive

Help shape Retriqs

Retriqs is still evolving, and feedback from early users helps us decide what to improve next.

If you want to share ideas, report issues, suggest graph packs, or help test new features, join our Discord:

Join the Retriqs Discord

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