RAG as a Service
Use Our RAG as a Service Development to Build LLM Models Fit to Your System Behind Your Firewall
Enhance your AI applications with up-to-date, accurate information through Retrieval Augmented Generation systems developed by Azumo. Our development team seamlessly integrates your knowledge bases with powerful language models, ensuring your AI delivers current, relevant, and trustworthy responses every time.
Introduction
What is Retrieval Augmented Generation
Retrieval Augmented Generation (RAG) is an AI architecture that enhances large language models by combining them with external knowledge retrieval systems. RAG systems search relevant information from databases, documents, or knowledge bases in real-time, then use this retrieved context to generate more accurate, up-to-date, and factually grounded responses.
RAG enhances the capabilities of large language models by integrating external data sources, leading to more accurate and contextually relevant responses.
We Take Full Advantage of Available Features
Real-time knowledge retrieval from multiple structured and unstructured sources
Semantic search capabilities with vector databases and embedding models
Context-aware response generation that combines retrieved and generated content
Dynamic knowledge base updates with automated content indexing and versioning
Our capabilities
Deliver accurate, context‑aware answers by grounding large language models in your verified data, boosting answer accuracy by 40 % and achieving +90 % precision on domain‑specific queries.
How We Help You:
Customized Data Integration
We assist in integrating your unique data sources, ensuring seamless compatibility with your large language models for optimal performance.
Relevancy Search Optimization
We fine-tune relevancy search algorithms, ensuring the most relevant information is retrieved and used by your models.
Prompt Engineering
We provide advanced prompt engineering techniques to enhance the effectiveness of your large language models, ensuring accurate and contextually relevant responses.
Data Updating Strategies
Implement robust strategies for keeping your data sources up-to-date, ensuring your models always provide the latest and most accurate information.
Security and Compliance
Ensure your data retrieval processes adhere to the highest security standards and regulatory requirements, protecting sensitive information and maintaining user trust.
Monitoring
Continuous monitoring and optimization of your RAG implementations, ensuring consistent performance and reliability of your AI-driven solutions.
Engineering Services
RAG enhances the capabilities of large language models by integrating external data sources, leading to more accurate and contextually relevant responses.
Design Knowledge Architecture
Analyze your data sources and design a RAG architecture tailored to your use case. Our engineers evaluate your documents, databases, and APIs to create an optimal retrieval strategy using vector databases like Pinecone, Weaviate, or Chroma with appropriate embedding models.
Build Retrieval Pipeline
Implement intelligent document processing and chunking strategies, create embedding pipelines, and build semantic search systems. Our developers optimize retrieval accuracy through hybrid search approaches, reranking algorithms, and custom similarity metrics.
Integrate and Orchestrate
Connect your retrieval system with LLMs using frameworks like LangChain or LlamaIndex. Our engineers implement prompt engineering, context window management, and response validation to ensure accurate, grounded outputs while preventing hallucinations.
Deploy and Maintain
Deploy production-ready RAG systems with real-time document indexing, automated knowledge base updates, and performance monitoring. Our team implements caching strategies, scales vector databases, and maintains retrieval quality as your data grows.
Retrieval Augmented Generation
Consult
Work directly with our experts to understand how fine-tuning can solve your unique challenges and make AI work for your business.
Build
Start with a foundational model tailored to your industry and data, setting the groundwork for specialized tasks.
Tune
Adjust your AI for specific applications like customer support, content generation, or risk analysis to achieve precise performance.
Refine
Iterate on your model, continuously enhancing its performance with new data to keep it relevant and effective.
With Azumo You Can . . .
Get Targeted Results
Fine-tune models specifically for your data and requirements
Access AI Expertise
Consult with experts who have been working in AI since 2016
Maintain Data Privacy
Fine-tune securely and privately with SOC 2 compliance
Have Transparent Pricing
Pay for the time you need and not a minute more
Our finetuning service for LLMs and Gen AI is designed to meet the needs of large, high-performing models without the hassle and expense of traditional AI development
Case Study
Scoping Our AI Development Services Expertise:
Explore how our customized outsourced AI based development solutions can transform your business. From solving key challenges to driving measurable improvements, our artificial intelligence development services can drive results.
Our expertise also extends to creating AI-powered chatbots and virtual assistants, which automate customer support and enhance user engagement through natural language processing.
Benefits
Cost-effective Implementation
Reduce costs by avoiding retraining large language models. Leverage existing data sources to enhance model performance without extensive reworking.
Current Information
Keep your responses up-to-date by connecting to live data sources like social media feeds or news sites, ensuring your model provides the latest information.
Enhanced User Trust
Improve user confidence by providing accurate information with source attribution, allowing users to verify and trust the data presented.
More Developer Control
Gain flexibility in managing information sources, adapting to changing requirements, and ensuring secure, relevant responses through controlled data retrieval.
Improved Accuracy
Reduce the risk of inaccuracies by retrieving information from authoritative sources, minimizing errors due to outdated or incorrect training data.
Efficient Troubleshooting
Easily identify and correct issues in model responses by tracing information back to its source, enhancing the overall reliability of your AI solutions.
Why Choose Us
2016
100+
SOC 2
"Behind every huge business win is a technology win. So it is worth pointing out the team we've been using to achieve low-latency and real-time GenAI on our 24/7 platform. It all came together with a fantastic set of developers from Azumo."





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