Timestamps:
00:00 - Intro 02:30 - System Prerequisites 03:15 - Local Setup Guide 05:30 - LLM Setup 09:28 - VectorDB Setup 11:09 - Embedding Model Setup 12:48 -
Text Extractor Setup 13:42 - Prompt Studio Setup 17:00 - Local RAG Demo 19:30 - Offline Sensitive RAG Demo 25:20 - Local API Demo 27:27 - Online Large
Doc Demo 33:35 - Closing Thoughts
Start for FREE: https://unstract.com/start-for-free/
TRY FOR FREE: Unstract Playground (No signup required): https://playground.unstract.com/
TRY FOR FREE: LLMWhisperer Playground (No signup required): https://pg.llmwhisperer.unstract.com/
In this video, we take a hands-on look at Unstract, an open-source platform for AI-powered document extraction and structured data workflows.
We begin with the local setup process, including system prerequisites, LLM configuration, VectorDB setup, embedding model setup, and text extractor
configuration. From there, we move into Prompt Studio and test how Unstract can be used for local RAG, offline sensitive document workflows, API-based
extraction, and large document processing.
The goal is to show how Unstract can help turn unstructured documents into structured outputs using local AI and configurable extraction pipelines.