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Unstract

Codeless LLM platform for structured unstructured documents.

#no code
#structured data
#API deployment
#LLM platform
#ETL pipeline
Unstract

Product Details

Unstract is a codeless LLM (Large Language Model) platform that allows users to launch APIs and ETL pipelines for processing unstructured documents through a simple codeless approach. It supports reading complex documents from a variety of cloud file/object storage systems and writing structured data to popular data warehouses and databases. Unstract leverages the power of large language models to go beyond traditional RPA (Robotic Process Automation) to achieve machine-to-machine automation.

Main Features

1
Use code-free Prompt Studio to add documents and prompt engineering to extract the required fields.
2
Configure a Prompt Studio project as an API deployment or configure the input source and output destination of an ETL pipeline.
3
Deploy workflows as unstructured data APIs or unstructured data ETL pipelines.
4
Supports multiple LLM providers, such as OpenAI, Google VertexAI, Azure OpenAI, etc.
5
Supports a variety of vector databases and embedding models, such as Qdrant, Weaviate, OpenAI, etc.
6
Supports multiple ETL sources and destinations, such as AWS S3, Minio, Snowflake, Amazon Redshift, etc.
7
Provides detailed documentation and quick start guide to help users get started quickly.

How to Use

1
Visit Unstract’s GitHub page and clone or download the project.
2
Ensure the system meets operating requirements, including Linux or MacOS, Docker, Docker Compose, Git, etc.
3
Run the `./run-platform.sh` script to start the Unstract platform.
4
Go to http://frontend.unstract.localhost in your browser and log in using the default username and password.
5
Learn how to use Prompt Studio and deploy the API with the Quick Start Guide.
6
Configure ETL pipelines as needed to connect data sources and destinations.
7
Deploy workflows and start automating unstructured documents.

Target Users

Unstract is targeted at businesses and developers who want to automate the processing of complex documents. It is suitable for users who need to convert unstructured data into structured data for easy analysis and storage. Unstract makes it easy for users without a programming background to automate by simplifying the deployment process of APIs and ETL pipelines.

Examples

Enterprises use Unstract to automatically process customer feedback forms, extract key information and store it in the database.

Data analysts use Unstract to extract data from PDF reports for market analysis.

Development teams use Unstract to quickly build APIs to convert unstructured log data into a structured format that can be used for machine learning.

Quick Access

Visit Website →

Categories

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› data analysis
› Development and Tools

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