Unstructured
Making unstructured data with difficult-to-use formats accessible and ready for RAG with Unstructured and Milvus / Zilliz Cloud
Use this integration for FreeWhat is Unstructured?
Unstructured is a platform designed to ingest, process, and transform unstructured documents for AI applications such as Retrieval-Augmented Generation (RAG) and model fine-tuning. It supports various file types, including text documents, images, PDFs, and presentations, making it adaptable to diverse data sources.
With both a no-code user interface and a serverless API, Unstructured allows users to quickly prepare data for downstream data storage, analysis, and machine learning workflows with vector databases and LLM frameworks.
Why Integrating Unstructured and Milvus / Zilliz Cloud?
Integrating Unstructured with Milvus and its managed service, Zilliz Cloud, creates a powerful, scalable solution for managing and leveraging unstructured data in AI applications. The Unstructured platform ingests, processes, and transforms unstructured data from various file types into AI-ready vector embeddings. These embeddings are crucial for advanced AI workflows, yet storing, indexing, and querying them effectively requires a specialized vector database.
This is where Milvus and Zilliz Cloud excel. They offer billion-scale vector storage and rapid similarity search capabilities that make managing large, complex datasets feasible. The synergy between Unstructured and Milvus (or Zilliz Cloud) enables a streamlined end-to-end pipeline, which is particularly valuable for Retrieval-Augmented Generation (RAG) and other AI-driven applications like smart chatbots and personalized recommendation systems.
How Unstructured and Milvus / Zilliz Cloud Work Together
Unstructured manages the initial stage of the workflow by ingesting and transforming unstructured data from diverse sources into vector embeddings. These embeddings are then seamlessly passed to Milvus or Zilliz Cloud, where they are efficiently stored, indexed, and retrieved for various downstream tasks.
This pipeline can also integrate with AI frameworks like LlamaIndex and LangChain, or connect directly with large language models (LLMs) like ChatGPT, enabling the development of advanced AI applications such as Retrieval-Augmented Generation (RAG), recommendation systems, and chatbots.
How Unstructured and Zilliz Cloud Work Together
How to Use Unstructured with Milvus/Zilliz Cloud