Build a reliable RAG
data foundation that turns enterprise knowledge into accurate AI responses.
Dev Technosys builds custom ingestion, retrieval, and access
layers behind enterprise RAG solutions to answer from your data rather than guessing at
forecasts.
Our AI data engineering services optimize data in RAG
applications so that every response you get is cited from your permissioned business
data.
Retrieval-augmented generation, or RAG, is a system
that allows a language model or LLM to answer questions from business documents, tickets,
and databases. This increases the accuracy of answers, which are precise and dependent on
the data that is retrieved and data engineering practices such as collecting sources,
cleaning, splitting, embedding, and keeping the index current. RAG AI development helps in
creating a data pipeline between data sources and the AI assistant and making sure that
relevant information is retrieved.
Connects PDFs, wikis, CRMs, ticketing tools, and
data warehouses into one governed AI data engineering pipeline
Enforces access rules at retrieval, so each user
only receives answers drawn from documents they may see
Ends with measured answer quality, not a demo that
only looks good once
The retrieval gap
Why Businesses Need AI Data Engineering for RAG
Most RAG pilots stall for the same reason: the retrieval layer
was treated as an afterthought.
Answers nobody can trust.
AI development companies ship a chatbot over raw file
dumps. Duplicate, outdated, and contradictory documents then reach the model, and it
confidently repeats whichever one it finds first.
Knowledge that goes stale
Policies, prices, and product specs change weekly.
Without incremental indexing and change detection, enterprise RAG solutions quietly serve
last quarter’s truth long after the source has been updated, and nobody notices.
Access that ignores permissions
A shared index can expose sensitive HR files, contracts,
or customer records to the wrong person. AI data solutions must carry document-level
permissions from each source system into every retrieval call.
End-to-end delivery
RAG Data Engineering Services We Deliver
Dev Technosys provides 7 major RAG development services,
available individually or as one end-to-end build, each scoped to your sources, users, and risk
level.
Custom RAG Solution Development
As a
generative AI
development company, we design retrieval architecture with hybrid search,
re-ranking, and routing matched to your data.
Design
RAG Pipeline Development Services
Automated ingestion from files, APIs, and databases,
with parsing, deduplication, and metadata tagging that keeps every chunk traceable to its
source.
Ingestion
Vector Database Integration Services
Index design, tuning, and migration across Pinecone,
Weaviate, pgvector, and Milvus, with sharding, filtering, and cost controls for
multi-tenant workloads.
Indexing
AI Knowledge Base Development Services
Governed knowledge bases for internal search and help
desks, linked to our
AI chatbot development
services, with citations beside answers.
Knowledge
LLM Data Engineering Services
Context assembly, token budgeting, and caching so each
model call carries the right evidence at the lowest sensible cost.
Context
RAG Integration Services
Connectors for SharePoint, Confluence, Salesforce,
Zendesk, and internal APIs, with single sign-on, so answers appear inside the tools teams
use.
Connect
Evaluation And Monitoring
Golden question sets, faithfulness scoring, and drift
alerts that catch quality drops before users report them, visible on dashboards.
Quality
Full RAG data engineering
Not sure which service you need first?
Share your sources, users, and compliance
constraints. We’ll map the RAG pipeline scope that fits your risk level and timeline.
Book a free scoping call with
our AI experts, and we will map your data sources to the right services in a single session.
Pipeline coverage
What does our RAG Solutions Company Cover?
Our AI data infrastructure development services and
enterprise AI data pipeline development cover six layers, each measured on its own.
Pipeline layers
Dimension · Ingestion
Ingestion and Parsing
Tables, scanned PDFs, slide decks, and code
repositories parsed with OCR where needed, keeping structure, layout, and authorship
metadata intact.
Dimension · Chunking
Chunking Strategy
Chunk size and overlap set per document type,
so a contract clause or runbook step is never cut in half.
Dimension · Embeddings
Embeddings and Indexing
Embedding models benchmarked on your own
vocabulary before any index is built, with re-embedding plans for model and provider
changes.
Dimension · Retrieval
Retrieval and Re-ranking
Hybrid keyword and vector search, metadata
filters, and re-rankers tuned against your real user questions, not generic
benchmarks.
Dimension · Evaluation
Evaluation and Quality
Retrieval recall, answer faithfulness, and
citation accuracy scored on every release, with regression tests that stay in your
repository.
Dimension · Orchestration
Orchestration and Agents
Multi-step retrieval, tool calls, and fallback
paths for AI agent platforms, with human review on high-stakes steps.
How we deliver
Our RAG Development Process
As a RAG development company, we deliver in five stages,
and nothing reaches production until your team signs off on measured results you can inspect.
Data Discovery
Our experts map sources, owners, formats, and
permissions, then agree which questions the system must answer first.
Pipeline Design
We prototype chunking, embedding, and retrieval
choices on your data, scoring each so trade-offs become numbers.
Build And Integrate
Developers then build custom retrieval-augmented
generation solutions, wired to your sources, identity provider, and front end.
Evaluate And Harden
Golden questions and red-team prompts expose
retrieval gaps and leakage before launch. Every fix is re-scored.
Launch And Operate
We monitor answer quality and freshness.
Hire dedicated developers
from us for ongoing tuning and support.
Use cases
RAG Use Cases We Build
Our
AI consulting services
company usually begins with one of these eight, then widens once the first assistant
earns trust.
Enterprise search across wikis, drives, and
tickets, with clickable citations
Support agents grounded in current help content
and known issues
Contract and policy question answering with
citations
Sales enablement over product, pricing, and
competitor data
Engineering assistants over code, architecture
notes, and runbooks
Compliance research across cited regulations and
internal policies
Onboarding assistants that answer new
employees’ policy and tooling questions
Analyst copilots over research reports, filings,
and earnings transcripts
Industries
RAG Built for Industries That Run On
Documents
We deliver AI data engineering RAG services for
businesses in six sectors, with vocabulary built into retrieval.
Healthcare
Fintech and Banking
Insurance
Legal
Manufacturing
Retail and eCommerce
Tech stack
Popular Technologies Used in AI Data Engineering RAG
Services
Our tech stack follows your data, not our partnerships, so your team
can secure business with AI on whatever it runs.
Stack layers
Foundation models
OpenAI
Azure OpenAI
Anthropic
Google Gemini
Mistral
Llama
Orchestration and RAG frameworks
LangChain
LlamaIndex
LangGraph
Haystack
Vector databases and search
Pinecone
Weaviate
pgvector
Milvus
Elasticsearch
Cloud and platform
AWS
Azure
Google Cloud
Kubernetes
Security & compliance
Security and Compliance For Enterprise RAG
Solutions
Hire AI developers to
build a robust system that safeguards the entire process. Dev Technosys works under ISO 27001,
SOC 2, SOC 1, PCI DSS, and GDPR requirements, maintaining high-quality standards. Every layer is
designed so a compliance reviewer can trace an answer back to its source.
Dev Technosys is an AI data solutions company that agrees on
outcomes at kickoff and reports against them after launch.
Source
traceability
Answers With Sources
Every answer links to its source passage, so
reviewers verify claims fast.
Grounding
Fewer Invented Facts
Stronger retrieval and grounding rules leave the
model less room to guess, and it can decline when evidence is thin.
Fresh
indexes
Knowledge That Stays Current
Incremental indexing keeps answers aligned with the
latest policy, price list, or contract.
Cost
control
Predictable Spend
Caching, right-sized chunks, and model routing keep
token costs visible.
Permissions
Safe Access
Permissions follow the source system, so sensitive
files stay behind the right doors.
Evaluation
A Test Suite You Keep
A RAG solutions company that hands over its
evaluation set lets you swap models without losing quality control.
Why us
Why choose Dev Technosys as your AI Data
Engineering Services Company
Dev Technosys is a custom AI development company that builds
and runs production RAG systems ourselves, so we know where retrieval breaks and how to fix it
before your users notice.
A RAG development services company that assigns
specialists, never generalists learning on your budget.
Still have questions? Our RAG engineers will answer them
directly.
AI Data Engineering for RAG involves the process of organizing,
structuring, integrating, and managing enterprise data for RAG systems. It helps AI
models produce accurate, grounded, and useful responses by ensuring that relevant
information is processed, indexed, and retrieved as context.
The cost of AI Data Engineering RAG Services on average ranges from
$10,000 to $35,000, which depends on data volume, data source complexity,
integrations, processing requirements, vector infrastructure components, retrieval flows,
security controls, and deployment needs. The final price will vary based on the
technical requirements of the project.
It typically takes 2–4 months to build a RAG data pipeline,
depending on the number of data sources, the complexity of data preparation,
integrations, indexing needs, retrieval design and architecture, evaluation workflows,
security requirements, and production deployment requirements.
Depending on the application’s data requirements, an AI Data
Engineering RAG service can encompass data ingestion, cleansing, transformation,
document processing, chunking, metadata management, embeddings, vector indexing,
retrieval pipelines, evaluation, security controls, monitoring, and production
optimization.
Yes, a RAG system can be integrated with existing databases, documents,
APIs, business applications, and knowledge repositories. The integration approach is
dependent on the data format, availability, quality, permissions, security needs, and
goals of data retrieval.
Build Your RAG Data Foundation With AI Engineering
Experts
Build, integrate, and optimize your RAG data pipelines with expert
AI data engineering support. Start with a free scoping call.
Data security focused · NDA on request · Production-ready
RAG pipelines
Video Testimonials
Discover how our clients have achieved success, watch their authentic video testimonials and see the results for yourself
“Dev Technosys delivered a secure, user-friendly medical app for us. Their technical expertise, clear communication, and commitment to healthcare compliance truly exceeded our expectations.”
Brad Ryba
CEO
“Dev Technosys transformed our business idea into a powerful mobile app. Their strategic approach, reliability, and on-time delivery helped us scale smoothly and confidently.”
Lisa Dott
Managing Director
“Working with Dev Technosys felt like a true partnership. Their care, dedication, and understanding of our healthcare goals made the entire journey smooth and rewarding.”
Brenda
CEO, Papaya
“Dev Technosys brought our carpet information project to life with clarity and precision. Their professionalism, responsiveness, and commitment to quality made the collaboration truly valuable.”
Abdul Wahad Rasul
Director - Satar Carpet GmbH
“Dev Technosys played a key role in shaping our project into a viable business. Their problem-solving mindset, technical strength, and consistent support delivered real results.”
Arif Alakbarov
Founder at Best.AZ
“Dev Technosys handled our healthcare project with care and precision. Their thoughtful approach, strong collaboration, and attention to detail gave us confidence at every stage.”
Mbuih Zukane
CEO - InspireWebApp
Testimonial
1000+
Countless Transformative Experiences with Dev
Technosys
206 Reviews on Clutch
Meditation App
"Building a meditation app that truly soothes the mind was our
dream, and this team made it a reality. From immersive audio features to
personalized mindfulness journeys, everything is top-notch. Our users love the
experience, and retention rates have never been better!"
Emma Lewis
UK
Fintech App
"Security and speed are critical in fintech, and our app
excels in
both. The team built an intuitive, high-performance platform with advanced
encryption and instant transactions. We've gained the trust of thousands of
users,
and our growth in the financial sector has been remarkable!"
Luca Moretti
Europe
NFT Marketplace Platform
"Our NFT marketplace is now a game-changer in the digital
asset
world. The team delivered a highly secure, scalable, and visually stunning
platform.
The smart contract integration is seamless, and user engagement is at an
all-time
high. Couldn't have asked for a better partner!"
Aisha Al-Farsi
UAE
Generative AI
"AI innovation requires precision, and this team nailed it.
Our
generative AI app produces stunning, realistic results with lightning-fast
processing. The algorithm customization exceeded our expectations, and we've
seen a
massive increase in user adoption. Truly a cutting-edge development team!"
Dev Technosys Gets Featured By Leading Global Media
Our innovation and technology expertise have earned a feature in respected media platforms and industry publications across the world.
Mobile Development Services Excellence
Featured by EIN Presswire for delivering innovative software development
services that help startups and enterprises accelerate digital transformation with
confidence.
Highlighted by Barchart for building scalable digital products that combine
modern technologies, exceptional performance, and measurable business value.
United States (USA), United Kingdom (UK), Singapore, Germany, Canada, Australia,
Ireland ,New Zealand , Netherlands, Norway, United Arab Emirates (UAE) , Saudi Arabia ,
Qatar, Finland, Mexico, Switzerland, Spain, France, etc
4.8 / 5.0
by 800+ customers for 1000+ Web and Mobile App Development Projects.
Meditation App
"Building a meditation app that truly soothes the mind
was our dream, and this team made it a reality. From immersive audio
features to personalized mindfulness journeys, everything is top-notch.
Our users love the experience, and retention rates have never been
better!"
Emma Lewis
UK
Fintech App
"Security and speed are critical in fintech, and our
app excels in both. The team built an intuitive, high-performance
platform with advanced encryption and instant transactions. We've gained
the trust of thousands of users, and our growth in the financial sector
has been remarkable!"
Luca Moretti
Europe
NFT Marketplace Platform
"Our NFT marketplace is now a game-changer in the
digital asset world. The team delivered a highly secure, scalable, and
visually stunning platform. The smart contract integration is seamless,
and user engagement is at an all-time high. Couldn't have asked for a
better partner!"
Aisha Al-Farsi
UAE
Generative AI
"AI innovation requires precision, and this team
nailed it. Our generative AI app produces stunning, realistic results
with lightning-fast processing. The algorithm customization exceeded our
expectations, and we've seen a massive increase in user adoption. Truly
a cutting-edge development team!"
Hiroshi Tanaka
Japan
Generative AI
"AI innovation requires precision, and this team
nailed it. Our generative AI app produces stunning, realistic results
with lightning-fast processing. The algorithm customization exceeded our
expectations, and we've seen a massive increase in user adoption. Truly
a cutting-edge development team!"
Hiroshi Tanaka
Japan
Healthcare App
"Partnering with Dev Technosys for our healthcare app
was a game-changer. Their team understood HIPAA compliance and delivered
a secure, intuitive solution that doctors and patients love. Their
expertise in healthcare IT really stands out. We appreciate their timely
communication and proactive approach. Highly recommend them!"
Emily Johnson
USA
eCommerce App
"We hired Dev Technosys to develop a multi-vendor
eCommerce platform, and they nailed it! Their UI/UX team brought our
vision to life, while the developers ensured seamless functionality.
From product management to payment gateway integration, everything works
perfectly. A dependable IT partner!"
James Carter
United Kingdom
Logistics App
"Dev Technosys helped us digitize our logistics
business with a powerful web and mobile solution. From live tracking to
route optimization, their custom features improved efficiency and
reduced costs. We are very impressed with their technical strength and
customer-centric mindset."
