tokens&
BrowseFor enterprises
Submit an offer
tokens&

Find tools, check provider offers, save a build plan, and share your work when you’re ready.

For buildersFor enterprises

For builders

  • Product launches
  • Builder projects
  • Startup credits and perks
  • Agent Skills
  • Published agents
  • API and agent docs
  • Publish a project

For enterprises

  • Start free company workspace
  • Submit a tool, product, or perk

Community

  • Community
  • Newsletter
  • Events
Xin

© 2026 tokensand, LLC. All rights reserved.

  • Terms
  • Privacy
  • Security
  • Data Processing
  • Status
  1. Home
  2. Tools
  3. RAG Frameworks
  4. Unstract
Unstract logo

Unstract

RAG Frameworks · Open source

Open-source LLM platform for extracting structured data from unstructured documents into APIs and ETL workflows.

Visit websiteDocs

Related tools

Explore products with related capabilities. Check their details for your use case.

Browse the category
Firecrawl logo
Firecrawl

RAG Frameworks· firecrawl.dev

Freemium

Web data API and open-source crawling stack for turning sites into clean markdown, structured data, and agent-ready content for RAG and automation pipelines.

Evaluate for your team
Is this your company?Verify ownership · Add products · See activity
OverviewProduct evaluationResources

Product evaluation

Review Unstract for your team’s requirements before a technical pilot.

Commercial model

Open source

View vendor website

Listed pricing category. Confirm current rates, limits and enterprise contract terms with the vendor.

Implementation

API listed · Open source listed

DocumentationSource repository

Validate integration, deployment and operational requirements in your own environment.

Enterprise review

Security, data handling, support and contract terms require vendor confirmation. Linked sources do not establish certification or approval.

Resources

Documentation and setup for builders and coding agents.

Official websiteDocumentationGitHub repository
Setup & agents

Quickstart

Preparing Unstract docs pack
Streaming

The product profile is ready. Official docs, README snippets, and the AI paste pack are loading in the background.

Follow, compare & product details

Community support for Unstract. Votes do not verify product usage.

Add projectEmbed badgeFor companies
197,720
10,447
Open source
LangChain4j logo
LangChain4j

RAG Frameworks· docs.langchain4j.dev

Open source

Java framework for integrating LLMs, RAG pipelines, tools, and agent workflows into JVM applications.

13,358
2,658
Open source
Microsoft MarkItDown logo
Microsoft MarkItDown

RAG Frameworks· github.com

Open source

Microsoft MarkItDown is an open-source document conversion tool that turns files and office documents into Markdown for LLM, RAG, and text-analysis pipelines.

194,215
14,611
Open source
pgContext logo
pgContext

RAG Frameworks· github.com

Open source

Apache-licensed AI search engine built directly into Postgres for semantic retrieval and agent context workflows.

266
24
Open source
Start building with Unstract

Inferred — verify against official docs

Copy the setup, example and source links for your coding agent.

Preview pack
# Building with Unstract

Open-source LLM platform for extracting structured data from unstructured documents into APIs and ETL workflows.

**Category:** RAG Frameworks
**Directory listing:** https://tokensand.com/tools/rag-frameworks/unstract
**Detected stack:** unknown
**Snippets derived from real docs:** no (fallback)

## Goal

I'm building a project with Unstract. Help me ship end-to-end in the smallest number of steps — hackathon speed, production-safe defaults. If any step below is ambiguous or the docs snippet is incomplete, ask me what I'm trying to build before writing code.

### Install
(No canonical install command detected — see docs links below.)

### First call
(No verified example detected — consult the official docs links before writing one.)

## Docs links
- [Official Docs](https://docs.unstract.com/)
- [GitHub](https://github.com/Zipstack/unstract)
- [Website](https://unstract.com/)


## Your task
1. Read the install and first-call blocks above. Write a minimal runnable starter in the detected stack (unknown).
2. Call out any secrets I'll need (API keys, env vars) and how to get them.
3. Suggest one "next step" that would make this project demo-worthy in 10 minute
…
Docs:Official DocsGitHubWebsite