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.

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.

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

Why Choose Azumo for RAG as a Service

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.

Our RAG as a Service

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.

Our AI Development Service Models

We offer flexible engagement options tailored to your AI development goals. Whether you need a single AI developer, a full nearshore team, or senior-level technical leadership, our AI development services scale with your business quickly, reliably, and on your terms.

Requirements Discovery

De-risk your AI initiative from the start. Our Discovery engagement aligns business objectives, tech feasibility, and data readiness so you avoid costly rework later.

Create TEch Specs

POC and MVP Development

Prove value fast. We build targeted Proofs of Concept and MVPs to validate AI models, test integrations, and demonstrate ROI without committing to full-scale development.

Build Your MVP

Custom AI Development

End-to-end AI development tailored to your environment. We handle model training, system integration, and production deployment backed by top AI engineers.

Build Your AI Solution

AI Development Staffing

Access top-tier AI developers to fill capability gaps fast. Our vetted engineers plug into your team and stack, helping you meet delivery goals without compromising quality or velocity.

Staff Your AI Needs

Dedicated AI Development Team

Build an embedded AI Development team that works exclusively for you. We provide aligned, full-time engineers who integrate with your workflows and own delivery.

Build a team

Virtual CTO Services

Our Virtual CTO guides your AI development strategy, ensures scalable architecture, aligns teams, and helps you make informed build-or-buy decisions that accelerate delivery.

Get Expertise

Retrieval Augmented Generation

Build Intelligents Apps with Azumo for Retrieval Augmented Generation

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.

Consult

Work directly with our experts to understand how fine-tuning can solve your unique challenges and make AI work for your business.

Simple, Efficient, Scalable RAG as a Service

Get a streamlined way to finetune your model and improve performance without the typical cost and complexity of going it alone

Get started

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

Our Client Work in AI Development

Our Nearshore Custom Software Development Services focuses on developing cost-effective custom solutions that align to your requirements and timeline.

Web Application Development. Designed and developed backend tooling.

Developed Generative AI Voice Assistant for Gaming. Built Standalone AI model (NLP)

Designed, Developed, and Deployed Automated Knowledge Discovery Engine

Backend Architectural Design. Data Engineering and Application Development

Application Development and Design. Deployment and Management.

Data Engineering. Custom Development. Computer Vision: Super Resolution

Designed and Developed Semantic Search Using GPT-2.0

Designed and Developed LiveOps and Customer Care Solution

Designed Developed AI Based Operational Management Platform

Build Automated Proposal Generation. Streamline RFP responses using Public and Internal Data

AI Driven Anomaly Detection

Designed, Developed and Deployed Private Social Media App

Case Study

Highlighting Our Fine Tuning Expertise:

Insights on LLM Fine Tuning

Enhancing Customer Support with Fine-tuned Falcon LLM

Our Full Stack Approach to RAG as a Service

Boost your AI projects with RAG as a Service from Azumo. Connect your data, deploy fast, and improve your AI with reliable context. Get started now!

Click the logos to learn more

Anthropic

Cohere

Databricks

Datastax

DeepSeek

Gemini

LLaMA

LangChain

Mistral

OpenAI

Pinecone

PyTorch

Python

Weaviate

What You'll Get When You Hire Us for RAG as a Service

We are able to excel at developing Retrieval Augmented Generation solutions because we attract ambitious and curious software developers seeking to build intelligent applications using modern frameworks. Our team can help you proof, develop, harden, and maintain your Retrieval Augmented Generation solution.

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.