Mar 6, 2025
Redis Support in Unstructured Platform: Supercharging Your RAG Pipeline
Maria Khalusova
RAG
Retrieval-Augmented Generation (RAG) applications depend on efficient data ingestion, transformation, and storage to deliver relevant responses quickly. However, managing the preprocessing pipeline and integrating a high-performance vector database can be complex and resource-intensive.
To simplify this process, Unstructured Platform now offers seamless Redis Cloud integration. By combining Unstructured’s advanced data preprocessing capabilities with Redis Cloud’s in-memory performance, data teams can build RAG applications that are both scalable and lightning-fast. This integration enables you to process unstructured data and store it efficiently in Redis Cloud, unlocking high-speed vector search and retrieval capabilities.
Why Redis?
Redis is a great choice for RAG applications because of its speed, scalability, and ability to be used for many real-time use cases. It provides several key features that enhance vector search and retrieval:
Vector Indexing: Stores and organizes vector embeddings efficiently, enabling rapid similarity searches.
Semantic Caching: Improves response times and reduces processing costs by storing frequently accessed results, such as commonly asked questions in a knowledge retrieval system.
LLM Context Management: Maintains conversation history for AI-driven interactions, ensuring continuity and better contextual understanding in chatbot or virtual assistant applications.
High Performance: With its in-memory architecture, Redis delivers low-latency, high-throughput operations, making it an excellent choice for large-scale AI and RAG workloads.
Broad integrations: Redis works with the top GenAI tools and frameworks including Unstructured so you can focus on building apps instead of maintaining infrastructure.
Unstructured Platform + Redis
With the Unstructured Platform’s Redis Cloud integration, data teams can:
Process unstructured data from 60+ file formats using Unstructured’s robust parsing tools
Convert documents into structured, AI-ready chunks with intelligent partitioning
Store document content and metadata directly in Redis Cloud for fast retrieval
Utilize Redis Cloud’s vector search capabilities for efficient similarity matching
Scale seamlessly with high-throughput, batch-processing support
By leveraging Redis Cloud’s real-time processing capabilities alongside Unstructured’s powerful data transformation tools, engineers can build high-performance RAG applications that deliver faster, more accurate responses. Whether handling live data streams or extensive document repositories, this integration optimizes retrieval speed and efficiency, reducing complexity in AI-driven workflows.
Setting Up the Integration
Here's how to configure the Redis Cloud integration in Unstructured Platform:
Using the Platform UI
Navigate to the Connectors section in the sidebar and click Destinations
Click "New" and provide a unique name for your connector
Choose "Redis" as the Provider and fill out the following configuration details:
Connection URI, or hostname/port/username/password
Database index (typically 0-15)
SSL settings (if applicable)
Batch size for uploads
Screenshots of a sample Redis Cloud destination connector configuration:




Using the Platform API
For those who prefer programmatic setup, here's how to create a Redis Cloud destination connector using our API:
Get started!
If you're already an Unstructured Platform user, the Redis Cloud integration is available in your dashboard today! New users can sign up for the Unstructured Platform here with a 14-day free trial to start.
Expert access
Need a tailored setup for your specific use case? Our engineering team is available to help optimize your implementation. Book a consultation session to discuss your requirements here.