Retrieval-Augmented Generation (RAG) Development Company
Codiant offers Retrieval-Augmented Generation (RAG) services to help businesses deliver context-aware, real-time responses using external knowledge and LLMs.
Hire RAG DevelopersOur RAG as a Service Offerings
We build custom RAG (Retrieval-Augmented Generation) pipelines that blend LLMs with domain-specific data to improve factual accuracy, reduce hallucinations, and power intelligent automation.
Context-Aware Chatbots
Codiant builds RAG-powered chatbots that search your documents and respond with facts, not fluff, enhancing user trust and satisfaction instantly.
Enterprise Knowledge Assistants
We develop internal assistants that help teams access company knowledge, SOPs, and manuals, cutting search time and boosting productivity using RAG services.
AI-Powered Customer Support
Our experts implement Retrieval augmented generation services to enhance support systems with dynamic, accurate answers from real-time databases or helpdesk content.
Compliance & Legal Document Assistants
Codiant’s RAG as a service pipelines help legal teams auto-retrieve clauses, summarize contracts, and extract policy information from thousands of documents.
Sales & CRM Knowledge Agents
We integrate rag services with CRMs to help sales teams retrieve product info, pricing, and customer history instantly during client conversations.
Medical Information Systems
Codiant delivers HIPAA-compliant RAG systems for clinics, enabling secure retrieval of research papers, patient records, and protocols with traceable citations.
Dynamic Content Generation Tools
We offer tools that create on-brand, accurate, and citation-backed content using RAG to eliminate hallucination risks in content automation pipelines.
Financial Research Assistants
Codiant’s rag as a service helps analysts extract insights from financial statements, reports, and news sources with traceable references for decisions.
Multilingual Document Intelligence Agents
Our RAG development services power intelligent translation, summarization, and Q&A across multilingual documents with language-specific retrieval from internal knowledge bases.
Our Expertise in RAG Systems Development
We combine advanced LLMs, vector databases, and domain-trained retrievers to build systems that are scalable, secure, and continuously learning.
Custom Retriever Pipelines
We fine-tune retrievers for your domain, improving context matching and reducing irrelevant responses.
Vector Store Optimization
We work with Pinecone, Weaviate, or Qdrant to store embeddings, enabling blazing-fast retrieval from massive datasets.
Metadata Filtering & Chunking
Codiant’s experts structure knowledge for faster, more relevant retrieval using techniques like semantic chunking, tagging, and relevance scoring.
RAG Development Process We Focus On
We ensure every project is built with business context, technical precision, and measurable goals to deliver real-world value.
We identify areas where RAG can reduce manual effort, improve decision-making, or replace outdated search systems.
Our team collects structured/unstructured documents and transforms them into vector embeddings indexed for fast retrieval.
We build custom retrievers, connect them with your LLM of choice, and tune the prompts for accurate responses.
We simulate user queries, validate output accuracy, and optimize retrieval flow for speed, relevance, and traceability.
We deploy the RAG stack into your apps, tools, or workflows via secured APIs and real-time dashboards.
Post-launch, we monitor system usage and responses to improve the retrieval model and adapt to evolving content.
Why Choose Codiant for RAG as a Services?
We build business-grade Retrieval-Augmented Generation systems tailored to your domain, content, and users with measurable outcomes.
Industry-Trained Intelligence
We train your RAG system on your own documentation and business language. This helps it deliver accurate, meaningful answers your team can trust.
Trusted Tech Stack
From LangChain and Pinecone to LlamaIndex and GPT-4o, we use the most reliable tools to build flexible and future-ready RAG solutions for your business.
Enterprise-Grade Performance
Our RAG pipelines are built for speed, accuracy, and real-time use. You get fast, relevant responses that scale with your needs without slowing down.
Built-In Security
We follow strict security principles like HIPAA, GDPR, and SOC 2. We ensure your RAG solution is protected and aligned with business data policies.
Discover Our Way to Impactful Work
See our product development journey helping our clients open new opportunities and drive growth. Our solutions are conditioned with your customers’ voice.
EngageForm : An AI-Powered Form Builder That Simplifies Data Collection
EngageForm is an AI-powered form creation platform that helps users build smart interactive forms using natural language. Instead of spending hours setting up logic, fields and design, users simply describe what they need - and EngageForm generates the form automatically. It supports conditional logic, multiple question types, real-time previews and drag-and-drop edits for full control. Designed for teams in HR, marketing, healthcare and education, it makes form creation faster, easier and more intuitive. The platform also allows easy sharing, analytics tracking and multi-device compatibility - all in a clean no-code interface.
Hiregroww: An AI-Powered Skill-Based Hiring Platform
Hiregroww is a fast, intelligent pre-employment assessment platform powered by Artificial Intelligence that helps you hire faster, hire smarter, and hire more accurately. Intended for HR teams and recruiters, it provides domain-specific skill-based tests that can be customized for tech, sales, customer support and other tests. Hiregroww automates candidate screening and reduces bias so that only the best candidates pass through to the next level. With real-time analytics, remote testing, and secure proctoring tools, the platform is suitable for both start-ups and enterprises looking to hire at scale. Hiregroww makes recruitment easier and empowers decision-makers with hiring intelligence that is driven by data.
Scribeflo: AI-Powered Medical Scribe Platform
Scribeflo is an AI-powered medical scribe platform designed to automate clinical documentation, allowing healthcare professionals to prioritize patient care over paperwork. Tailored for physicians, therapists, and allied health providers, Scribeflo transcribes real-time or recorded conversations into structured SOAP notes, offering speed, accuracy, and compliance across every medical interaction with adaptive personalization, multi-speaker detection, and HIPAA-compliant security, the platform revolutionizes how modern clinicians capture, manage, and refine medical records.
What Makes Our RAG Implementation Smarter?
RAG implementation reduces guesswork and enhances the quality of AI responses by combining real-time knowledge with traceable, fact-checked data sources.
Unlike generic AI, RAG taps into your real documents. So, every response is factual, reliable, and rooted in your own data.
RAG taps into the latest content, policies, or databases. Your customers always get current information without waiting for model retraining.
RAG understands the context behind a question and responds more naturally, making every chatbot or assistant feel more intelligent and human-like.
Each response includes where the info came from. This builds trust, adds accountability, and ensures your team know it’s legit.
Stop Searching. Start Building Smarter Workflows.
Let’s build a retrieval-augmented future where your teams move quicker, your customers feel heard, and your data drives meaningful decisions every time.
Consult Our RAG Team
Custom RAG Services for Every Industry
Whether you’re in healthcare, finance, retail, or logistics, our RAG service adapts to your domain language, compliance needs, and customer expectations.
BFSI
We deliver retrieval augmented generation services for finance teams to automate policy lookups, detect compliance risks, and summarize regulatory data with full traceability and accuracy.
Our RAG as a Service Development Technical Architecture
Drive smarter automation with scalable chatbot solutions built on next-gen AI models, RAG engines, and seamless integrations that boost responsiveness and unlock enterprise-grade
Cloud & Infrastructure
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Amazon S3 -
Azure -
Google Cloud
Amazon S3
Azure
Google CloudData Processing & Big Data
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Big Data
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ETL
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Databricks
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Pandas
Big Data
ETL
Databricks
PandasNLP Library & Frameworks
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Hugging Face Transformers
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TensorFlow
Hugging Face Transformers
TensorFlowVector Stores & RAG Frameworks
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ElasticSearch
ElasticSearchContainerization
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Docker
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Kubernetes
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Amazon ECS
Docker
Kubernetes
Amazon ECSAI Models
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GPT-3
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GPT-4
GPT-3
GPT-4Let’s Hear What Our Clients Say
Rewarded with 2500+ Customer Stories. See some of the amazing stories that distinguish us from the rest.
Codiant delivered precisely what we needed, a top-notch website, with seamless film recollection. Their expertise exceeded our expectations, and we couldn't be more satisfied with the final result. Thank you, Codiant, for an outstanding collaboration!
Gezabel Perroti
Co-Founder, DISTRI7
Codiant has been our go-to partner for a while now. They've successfully handled several major projects. Among them, Autism Connect stands out as their greatest achievement. Their dedication and expertise are phenomenal. Highly recommended!
Catherine Kleins
Co-Founder, AUTISM WEST MIDLANDS
Codiant successfully delivered my complex software project (web, iOS, Android) despite language barriers and a wide scope. Exceeding expectations, they proved to be a top offshore tech company—I’ll continue working with them. Highly recommended!
Basim Albeladi
CEO, Labayh
RAG Services FAQs
Yes. RAG is awesome for internal content such as PDFs, helpdesk articles, knowledge base, CRMs, and more. Everything stays secure, and private. You get to decide what’s searchable and what’s not, so sensitive information never gets out without your permission.
Most chatbots follow fixed scripts or guess from general knowledge. RAG actually searches your business data before answering. That means your customers or team get helpful, fact-checked responses based on your own documents, not random internet answers.
Yes. RAG works great with internal content like PDFs, helpdesk articles, knowledge bases, or CRMs. Everything stays secure and private. You control what’s searchable and what isn’t, so sensitive data is never exposed without permission.
RAG can also be integrated into your websites, mobile apps, chat tools (Slack, Teams), or any other internal dashboards. We ensure that it integrates smoothly with your existing systems so your team doesn’t have to learn anything new.
A basic RAG system usually takes 3–4 weeks to build. If you need custom integrations or have lots of data to transfer, it could take a couple of additional weeks. Before we start, we’ll offer you a clear time line.
Yes, absolutely. Codiant provides full support even after launch. We keep checking how it performs, update it if your content changes, and retrain it when needed to keep it accurate and helpful.
