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Unstructured API: All Unstructured Enterprise ETL Functionality for Your MCP Integrations

Blog post from Unstructured

Post Details
Company
Date Published
Author
Unstructured
Word Count
2,022
Company Posts That Month
23
Language
English
Hacker News Points
-
Post removed?
No
Summary

Unstructured has expanded its platform capabilities by introducing a comprehensive API that allows for full programmatic access to its features, previously available only through its user interface. This includes two main API endpoints: the Unstructured Partition Endpoint, which now incorporates VLM partitioning, and the new Unstructured Workflow Endpoint, which supports end-to-end workflows for connecting, partitioning, chunking, generating structured data, embedding, and writing data on a schedule. The API facilitates the handling of unstructured data, a significant challenge for Generative AI applications, by transforming it into formats compatible with large language models (LLMs) through optimized ETL pipelines. Additionally, the API supports the development of Model Context Protocol (MCP) servers, enabling seamless integration of LLMs with unstructured data, and offers advanced features like contextual chunking and custom prompting. The platform also ensures high processing speed, compliance with enterprise security standards, and continuous updates of image-to-text and text-to-embedding models.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
MCP 30 1,783 93 50 +605%
Data Pipeline 13 505 175 73 +15%
LLM 11 4,855 541 180 +51%
RAG 4 1,499 228 73 +7%
Vector Search 4 1,879 278 111 +3%
Serverless 3 748 176 78 +30%
Real-time 1 4,629 997 226 +44%
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