Optimize RAG
With managed open source data services

Name: Instaclustr for RAG
Brand: NetApp Instaclustr
Availability: InStock

RAG AI hero texture graphic

What is RAG? And why is it a game changer?

Retrieval-Augmented Generation (RAG) is revolutionizing how AI applications deliver accurate, context-aware results.

Large Language Models (LLMs) are built with point-in-time snapshots of data. RAG enhances LLMs with real-time internal and external knowledge sources. This process enables the AI application to utilize up-to-date, accurate, relevant data and deliver responses based on facts not hallucinations.

Streaming services & vector databases:
The backbone of RAG

To build a RAG architecture, you need the right tools. Two key components make this possible:

Real-time data streaming services

Real-time data streaming services move data between multiple sources, creating seamless, real-time data pipelines for RAG and other AI applications.

Vector databases

Vector databases store vector embeddings of high dimensional objects, such as text, audio and image files. These representations capture the meaning and relationships between data and use vector search across billions of vectors to deliver ultra-fast contextual similarities.

Vector databases and streaming services power RAG to deliver the most relevant data for AI applications in real time. However, limited expertise and resources often make deploying and managing these technologies a challenge, slowing progress and impacting success.

Unleash The power of RAG
with Instaclustr

Focusing on the leading-edge open source data technologies, the Instaclustr Managed Platform makes it easy to deploy, maintain and scale the right data infrastructure for your RAG – saving time, effort, and costs. With Instaclustr you get the managed services, expertise and support to confidently deliver the best open source data technologies for your RAG AI applications.

Optimize your data pipelines for RAG

RAG applications rely on data which must be effectively integrated into your vector database. From managing data sources to streaming data and ensuring efficient retrieval, Instaclustr has a deep understanding of the open source data technologies to help you deliver the most accurate, relevant and up-to-date outcomes.

Turn RAG AI ideas into real, impactful products fast

Take the guess work out of choosing the best architectural approach and turn your exciting ideas from concept to reality. With Instaclustr, you can build, deploy, test, validate and refine your RAG AI infrastructure in a matter of days, and deliver impactful AI solutions that deliver ROI faster than ever before.

Deploy the future now—seamlessly move from pilot to production

When it’s time to move your AI project from pilot to full-scale deployment, Instaclustr can help you implement your RAG infrastructure in production, ensuring it’s ready to meet the performance, governance, security, scalability, and cost demands head-on.

Build your RAG AI applications for scale

Invest in the right open source data technologies that can scale to address changing needs or sudden spikes in usage while keeping costs under control—without causing downtime, slowdowns or interruptions.

Supercharge your open source data infrastructure for AI

Chances are your organization is already utilizing open source data technologies to drive various initiatives. With Instaclustr, you can streamline the process of repurposing and optimizing these powerful technologies for RAG AI applications, making the process simpler, faster, and more efficient.

Get the freedom to deploy your RAG anywhere

Deploy your open source data technologies wherever it works best for you—with any major cloud provider, in a private cloud, on prem, or even across a hybrid mix. Plus, by leveraging the best-in-breed open source technologies, you’ll avoid vendor lock-in and the costs and downside of commercial or proprietary alternatives.

Key benefits Of Instaclustr
for RAG

Accelerate your AI journey

Automates the deployment and configuration of RAG-ready open source data technologies in minutes
Optimizes the infrastructure for performance, reliability, availability and security
Monitors, detects and troubleshoots problems in real-time
Provides continuous maintenance and version upgrades including security – without downtime
Scales infrastructure efficiently to meet demand and reduce costs

Blog:

Powering your
AI workloads

Read the blog

Achieve optimal outcomes

Offers deep expertise to validate ideas, architectures, technical fit, and sizing etc. fast
Utilizes battle-tested best practices and operational processes
Contributes to open source projects and the Open Platform for Enterprise AI (OPEA) project

Article:

Learn more about vector databases
For AI

Read the article

Get complete flexibility

Offers multiple options: managed service, support, consultancy
Supports the leading open source data technologies for AI, in one place
Deploys anywhere: on-prem, all major cloud vendors, private cloud, or a hybrid mix
Reduces operational costs and avoids vendor lock-in
Removes the burden of managing backend systems to prioritize innovation

Video:

Learn more about Instaclustr managed service For open source

Watch the video

Instaclustr-supported
open source data technologies for RAG

PostgreSQL

PostgreSQL with pgvector enables this leading, market-proven open source database to deliver efficient storage and similarity search of vector data for AI.

Apache Cassandra

Designed to handle massive datasets and high throughput, Cassandra efficiently handles LLMs and other AI workloads that rely on vector embeddings. 

OpenSearch

A powerful search and analytics engine, OpenSearch serves as a powerful vector database for storing and retrieving document embeddings.

Apache Kafka

Apache Kafka enables real-time data ingestion from various sources, streaming and processing within the RAG architecture.

RAG AI diagram

Loved by developers, trusted by enterprises

“Managing data at our scale isn’t just about tools—it’s about having trusted expertise to keep us moving forward”

“Instaclustr has enabled us to get underway quickly, the support team have been there from the beginning helping us to get it right the first time with our schema and architecture.”

“Technologies like Apache Cassandra and Apache Kafka can be complex to manage efficiently and effectively. Instaclustr abstracts that complexity and helps us to stay focused on building our applications and services.”

“Instaclustr has been instrumental in helping us build out our data-centric platform. Their consulting team did an amazing job in providing specific technical expertise around Apache Kafka, and their managed platform provides us with the confidence and reliability we need to continue to grow.”

“My biggest driver was that Instaclustr could provide us with one single provider for the three technologies we were looking for: Cassandra, Kafka, and OpenSearch. They soon became trusted advisors.”