ENTERPRISE RAG DEVELOPMENT SERVICES

Build Smarter AI with a Secure RAG Engineering Team

Extend your AI delivery capabilities with Softree’s offshore RAG engineering team. We build secure, production-ready RAG solutions that connect enterprise documents, databases, business applications, and knowledge sources to deliver grounded, context-aware AI experiences.

TRUSTED BY BUSINESSES AND TECHNOLOGY PARTNERS WORLDWIDE
ISO 27001:2022Information Security Management
ISO 9001:2015Quality Management Systems
OFFSHORE DELIVERYIndia-Based Engineering Teams
WHITE-LABEL READYYour Brand. Our Delivery.
NDA & IP PROTECTEDConfidential Engagements
13+ YEARSProven Engineering Experience

Trusted by Partners & Clients

GO ERPGO ERP
NuventoNuvento
SnaponSnapon
JoniansJonians
Export Control GroupExport Control Group
SP MarketplaceSP Marketplace
BoschBosch
EmscaleEmscale
Link InnovationLink Innovation
IntellecttIntellectt
GO ERPGO ERP
NuventoNuvento
SnaponSnapon
JoniansJonians
Export Control GroupExport Control Group
SP MarketplaceSP Marketplace
BoschBosch
EmscaleEmscale
Link InnovationLink Innovation
IntellecttIntellectt
WHY SOFTREE

An Offshore RAG Engineering Team That
Extends Your AI Delivery

Softree provides the engineering capacity to build and scale secure RAG solutions without expanding your internal AI team.

White-Label RAG Delivery

Deliver Enterprise RAG projects under your own brand while Softree works behind the scenes as your dedicated engineering partner.

Offshore RAG Engineering Capability

Add experienced AI engineers across RAG architecture, data ingestion, retrieval, LLM integration, testing, and production deployment without building a larger in-house team.

Microsoft AI Technology Expertise

Build RAG solutions using Azure OpenAI, Azure AI Search, Microsoft 365, SharePoint, and related Microsoft AI technologies.

Built for Technology Partners

Support your client engagements with flexible RAG engineering capacity while you maintain ownership of the client relationship, delivery strategy, and brand.

Who We Help & Where We Operate

Enterprise RAG Development for Technology Teams & Partners

We help technology companies, consulting firms, system integrators, digital agencies, and Microsoft partners build and scale secure RAG solutions with dedicated offshore engineering teams.

Consulting Firms

Extend your AI delivery capabilities with an experienced offshore RAG engineering team.

Turn your AI strategy and client engagements into production-ready RAG applications, knowledge assistants, and enterprise AI solutions.

System Integrators

Add specialized RAG expertise to your existing client engagements.

Extend your delivery team with engineers supporting data ingestion, retrieval, vector search, LLM integration, security, testing, and deployment.

Technology & Product Companies

Accelerate AI product development with dedicated RAG engineering capacity.

Build RAG-powered applications, knowledge systems, and intelligent product experiences connected to your proprietary data and business systems.

Digital Agencies

Add Enterprise RAG development to your client offerings without building an in-house AI team.

Work with Softree behind the scenes to deliver custom RAG applications, knowledge assistants, and AI solutions under your own brand.

Microsoft & Cloud Partners

Extend Microsoft AI and cloud solutions with specialized RAG engineering expertise.

Build RAG solutions using Azure OpenAI, Azure AI Search, Microsoft 365, SharePoint, and related cloud technologies with offshore engineering support.

Ready to scale your RAG engineering capabilities?

Explore Partnerships
Global Reach. Local Understanding.

Where our clients are

Trusted by businesses across 13+ countries, we deliver technology solutions that help organizations build, scale, and transform digitally.

USA
UK
Canada
Netherlands
Lithuania
UAE
India
Vietnam
Singapore
Australia
South Korea
WHAT WE BUILD

Build Enterprise RAG Solutions for
Secure Knowledge Retrieval

Build production-ready RAG applications that connect enterprise data with intelligent retrieval and large language models with complete RAG pipeline—from data ingestion and document processing to vector search, retrieval, LLM integration, evaluation, and production deployment.

01 — RAG ARCHITECTURE


Enterprise RAG
Architecture


Design scalable RAG architectures around your business data, applications, security requirements, and AI workloads, creating a reliable foundation for enterprise knowledge retrieval and grounded AI experiences.

Retrieval pipelines designed for enterprise knowledge and business context
Architectures built for secure, scalable production deployment

02 — DATA INGESTION


Enterprise Data
Ingestion


Connect and prepare information from documents, databases, business applications, and knowledge repositories so enterprise data can be continuously processed and made available to downstream RAG workflows.

SharePoint, PDFs, SQL/DB, Confluence, Google Drive, CRM, emails, and APIs
Structured ingestion pipelines for reliable downstream retrieval

03 — DOCUMENT PROCESSING


Document Processing
& Chunking


Transform enterprise documents into structured, searchable knowledge through extraction, cleaning, chunking, and metadata enrichment designed to improve retrieval quality and context relevance.

Document extraction, cleaning, chunking, and metadata enrichment
Support for complex enterprise document and knowledge formats

04 — EMBEDDINGS & VECTOR SEARCH


Embeddings &
Vector Search


Convert enterprise knowledge into searchable vector representations and connect it to vector databases for semantic retrieval across large and diverse business information sources.

Embedding generation and vector database integration
Semantic and hybrid search for more relevant knowledge retrieval

05 — RETRIEVAL & RERANKING


Intelligent Retrieval
& Reranking


Improve the quality of retrieved context before it reaches the language model by combining query understanding, semantic search, filtering, retrieval, and reranking.

Query understanding, filtering, retrieval, and reranking
Retrieval pipelines designed to return focused business context

06 — LLM INTEGRATION


Grounded LLM
Responses


Connect retrieved enterprise knowledge with leading language models to generate context-aware responses grounded in the information available to your RAG application.

Azure OpenAI, OpenAI, Claude, Gemini, and Llama integration
Grounded responses with relevant enterprise context and source-aware answers

07 — SECURITY & PRODUCTION


Secure RAG
Deployment &
Optimization


Take RAG applications into production with security, evaluation, monitoring, performance optimization, and ongoing engineering support across the complete AI application lifecycle.

Access controls, evaluation, monitoring, performance, and production support
Continuous improvement of retrieval quality, response relevance, and system efficiency
Case Studies

Enterprise RAG in Action: Business Success Stories

Explore how Softree helps organizations leverage AI, RAG, and AI Agents to unlock the value of their enterprise data.

AI-Powered Healthcare Operations Knowledge Assistant — Case Study

📍 Client CountryUnited States 🇺🇸

AI-Powered Healthcare Operations Knowledge Assistant

Summary

Healthcare knowledge assistant reduces document search time by up to 35% while improving access to approved operational procedures.

Problem

Operational knowledge was distributed across multiple documents and repositories. Hospital staff and care coordinators spent significant time manually searching for relevant information.

Solution

Developed an AI-powered Healthcare Operations Knowledge Assistant using RAG on Azure. Built a conversational interface using React with a Python FastAPI backend and Azure AI Search.

Impact

Reduced document search time by up to 35%, ensuring reliable access to approved healthcare documentation with source traceability.

View Case Study →

Healthcare AI Test Automation for Patient Management Platform — Case Study

📍 Client CountryUnited States 🇺🇸

Healthcare AI Test Automation for Patient Management Platform

Summary

Achieve 85% test automation coverage and 60% faster releases using AI-powered test automation for a leading healthcare provider.

Problem

The organization relied entirely on manual testing across twelve critical application modules. Regression testing required nearly three weeks for every release, delaying deployments.

Solution

Designed and implemented an AI-powered end-to-end test automation framework using Playwright, AI-assisted test generation, and Azure DevOps.

Impact

Achieved 85% test automation coverage and 60% faster releases. The framework enabled automated regression testing and HIPAA compliance validation.

View Case Study →

Intelligent Warehouse Operations Assistant — Case Study

📍 Client CountryUnited States 🇺🇸

Intelligent Warehouse Operations Assistant

Summary

A global logistics company used AI agents, RAG, and voice automation to streamline warehouse operations and accelerate exception resolution.

Problem

Warehouse operators spent excessive hours manually cross-checking inventory and order statuses across disconnected WMS, ERP, and SOP documents.

Solution

Voice-enabled multi-agent assistant powered by Amazon Nova 2 Sonic, LangGraph, and RAG for instant hands-free floor intelligence and exception triage.

Impact

Significantly faster warehouse issue resolution, reduced manual information searches, and drastically improved overall employee productivity.

View Case Study →
RAG TECHNOLOGY STACK

Technology Stack for Enterprise RAG Development

Build secure RAG applications connecting enterprise data, intelligent retrieval, and language models. We combine Microsoft AI with modern RAG components to deliver production-ready knowledge solutions.

ENTERPRISE RAG PLATFORM

ENTERPRISE
RAG

DATA · RETRIEVAL · AI

Enterprise Data Architecture
STACK 01ENTERPRISE DATA
SharePointPDFsSQL / DatabasesConfluenceCRM
STACK 02DOCUMENT PROCESSING
Document ExtractionChunkingData CleaningEmbeddings Preparation
STACK 03RETRIEVAL ENGINE
Vector SearchSemantic SearchHybrid SearchMetadata Filtering
STACK 04LLM INTEGRATION
Azure OpenAIOpenAIClaudeGeminiLlama
STACK 05MICROSOFT AI
Azure AI SearchAzure OpenAIMicrosoft 365Microsoft Foundry
ENTERPRISERAGARCHITECTURE
ENTERPRISE KNOWLEDGE INGESTIONConnect and prepare enterprise data from all sources for secure RAG.
RAG DATA PROCESSINGTransform documents into structured knowledge while preserving metadata.
INTELLIGENT RETRIEVALRetrieve relevant knowledge using hybrid search before LLM context.
GROUNDED AI RESPONSESConnect context with language models to generate grounded AI responses.
SECURE ENTERPRISE RAGBuild secure RAG solutions with data integration and ongoing optimization.
TECH STACK
DATASharePoint · SQL / DB · PDFs · APIs
PROCESSINGChunking · Metadata · Embeddings
RETRIEVALVector · Semantic · Hybrid
LLMsAzure OpenAI · OpenAI · Claude · Gemini
MICROSOFT AIAzure AI Search · Microsoft 365
Why Choose Softree

Built for Long-Term Impact

01

Offshore Engineering Teams

Access experienced, pre-vetted engineering talent that integrates seamlessly with your team and workflows.

02

White-Label Delivery

Deliver solutions under your brand while Softree handles development, QA, and delivery behind the scenes.

03

Flexible & Scalable Engagements

Scale engineering capacity through dedicated teams, project delivery, or on-demand offshore resources.

04

AI, Microsoft & Modern Engineering Expertise

Build and modernize solutions across Agentic AI, Microsoft Azure, Power Platform, SharePoint, data, cloud, and modern applications.

05

Your Team, Extended

Work with Softree as an extension of your engineering organization, from discovery and design through production and ongoing support.

06

Cost-Effective Global Delivery

Leverage India-based engineering teams to increase delivery capacity while maintaining quality and continuity.

Client Feedback

Trusted by Enterprise Teams

4.9 / 5

average rating

Based on 150+ client reviews

“We had a very positive experience working with Softree Technology. The developers were responsive and delivery was on time. We appreciate the attention they gave our project and their great communication. The final product was exactly what we wanted and we look forward to working with Softree in the future.”

Natasha Adams

Wicked Point LLC

Virginia

“Overall, we are satisfied with our collaboration in the past and your last action and response to our reported issue, really makes a difference.”

Arkady Fedorovtsjev

ECG Group

Netherlands

“SOFTREE staff worked with us to learn our installation automation technology and built exactly what we needed.”

Darrell Trimble

SP Marketplace

California

FAQ

Frequently Asked Questions.

Question Answer:

Enterprise RAG (Retrieval-Augmented Generation) development combines powerful large language models (LLMs) with an organization's trusted internal data and knowledge sources. Softree builds custom RAG applications that securely ingest enterprise documents, databases, business applications, and other approved sources to retrieve highly relevant information. By grounding generative AI models in your proprietary enterprise data, we deliver accurate, context-aware, and highly reliable AI responses tailored to your specific business operations and semantic search requirements.

Question Answer:

Softree provides end-to-end Enterprise RAG development services designed for scale and security. Our comprehensive offerings include custom RAG architecture design, enterprise data ingestion, intelligent document processing and semantic chunking, advanced embeddings, vector database integration, and hybrid search optimization. We handle retrieval and reranking pipelines, secure LLM integration, continuous evaluation, deployment, and ongoing performance monitoring. Whether you need to build a complete generative AI application from scratch or extend an existing AI solution, our specialized offshore RAG engineering team delivers robust, production-ready AI solutions.

Build faster with a reliable offshore engineering partner.

Partner with Softree to accelerate product delivery, modernize enterprise systems, and scale with confidence.

Person wearing a white hooded jacket and virtual reality headset against a shimmering abstract background.

What we offer

Enterprise Integration
Cloud Architecture
AI & Automation
Microsoft Solutions
Offshore Engineering

Offices

  • Bengaluru

    11th Floor, Prestige Tech Park, Platina 2 · Outer Ring Rd, Kadubeesanahalli · Bengaluru, Karnataka 560087, India

  • Cuttack

    PLOT B6-1628, SECTOR-10, CDA · Cuttack, Odisha 753014 · India

  • San Francisco

    San Francisco, CA 94108 · United States

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