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Unstract

No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents

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🤖 Go beyond co-pilots

While co-pilots enable machine-to-human automation, with Unstract, you can go beyond co-pilots by enabling machine-to-machine automation. You can launch APIs that take in complex documents and return structured JSON all with a simple no-code approach. You can also launch unstructured data ETL Pipelines that can read complex documents from a variety of cloud file / object storage systems and write structured data into popular data warehouses and databases.

img Prompt Studio

🧘‍♀️ Three step nirvana

Automate critical business processes that involve complex documents with a human in the loop. Go beyond RPA with the power of Large Language Models.

🌟 Step 1: Add documents to no-code Prompt Studio and do prompt engineering to extract required fields
🌟 Step 2: Configure Prompt Studio project as API deployment or configure input source and output destination for ETL Pipeline
🌟 Step 3: Deploy Workflows as unstructured data APIs or unstructured data ETL Pipelines!

img Using Unstract

🚀 Getting started

System Requirements

  • 8GB RAM (recommended)

Prerequisites

  • Linux or MacOS (Intel or M-series)
  • Docker
  • Docker Compose (if you need to install it separately)
  • Git

Next, either download a release or clone this repo and do the following:

./run-platform.sh
✅ Now visit http://frontend.unstract.localhost in your browser
✅ Use user name and password unstract to login

That's all there is to it!

Another really quick way to experience Unstract is by signing up for our hosted version.

⏩ Quick Start Guide

Unstract comes well documented. You can get introduced to the basics of Unstract, and learn how to connect various systems like LLMs, Vector Databases, Embedding Models and Text Extractors to it. The easiest way to wet your feet is to go through our Quick Start Guide where you actually get to do some prompt engineering in Prompt Studio and launch an API to structure varied credit card statements!

🤝 Ecosystem support

LLM Providers

Provider Status
OpenAI ✅ Working
Google VertexAI, Gemini Pro ✅ Working
Azure OpenAI ✅ Working
Google PaLM ✅ Working
Anyscale ✅ Working
Mistral AI ✅ Working
Anthropic ✅ Working
Ollama ✅ Working
Replicate 🗓️ Coming soon!

Vector Databases

Provider Status
Qdrant ✅ Working
Weaviate ✅ Working
Pinecone ✅ Working
PostgreSQL ✅ Working
Milvus 🗓️ Coming soon!

Embeddings

Provider Status
OpenAI ✅ Working
Azure OpenAI ✅ Working
Google PaLM ✅ Working

Text Extractors

Provider Status
Unstract LLMWhisperer ✅ Working
Unstructured.io Community 🗓️ Coming soon!
Unstructured.io Enterprise 🗓️ Coming soon!
LlamaIndex Parse 🗓️ Coming soon!

ETL Sources

Provider Status
AWS S3 ✅ Working
Minio ✅ Working
Dropbox ✅ Working
Google Drive 🗓️ Coming soon!
Box 🗓️ Coming soon!
Google Cloud Storage 🗓️ Coming soon!
Azure Cloud Storage 🗓️ Coming soon!
HTTP/HTTPS 🗓️ Coming soon!

ETL Destinations

Provider Status
Snowflake ✅ Working
Amazon Redshift ✅ Working
Google Bigquery ✅ Working
PostgreSQL ✅ Working
MySQL 🗓️ Coming soon!
MariaDB 🗓️ Coming soon!
Microsoft SQL Server 🗓️ Coming soon!

🙌 Contributing

Contributions are welcome! Please read CONTRIBUTE.md for further details on setting up the development environment, etc. It also points you to other detailed documents as needed.

👋 Join the LLM-powered automation community

📊 A note on analytics

In full disclosure, Unstract integrates Posthog to track usage analytics. As you can inspect the relevant code here, we collect the minimum possible metrics.