Unstructured
Models & InferenceWhat is Unstructured?
It is designed to help preprocess structure unstructured text documents for use in downstream machine learning tasks. Examples of documents that can be processed using the unstructured library include PDFs, XML and HTML documents.
Unstructured is a tool in the Models & Inference category of a tech stack.
Key Features
Get your data LLM-readyMore data science. Less data cleaningAny document. Any file type. Any layout
Unstructured Pros & Cons
Pros of Unstructured
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Cons of Unstructured
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Unstructured Alternatives & Comparisons
What are some alternatives to Unstructured?
OpenAI
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LangChain
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ChatGPT
It is a trained model which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
