Build High-Accuracy, Context-Aware AI Systems Powered by Your Enterprise Data
AI models are powerful — but without your organizational knowledge, they cannot deliver accurate, contextual, or reliable responses. This is where RAG (Retrieval-Augmented Generation) and LLM Engineering become critical.
At Xotiv, we build enterprise-grade RAG systems and custom LLM pipelines that allow your AI to:
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Understand your documents
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Use your knowledge base
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Follow your business rules
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Retrieve accurate information
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Generate contextually precise answers
Your teams get AI that thinks like your organization, not a generic chatbot.
What Is RAG & LLM Engineering?
RAG (Retrieval-Augmented Generation)
The AI can reference:
- PDFs
- Contracts
- Knowledge bases
- SOPs & policies
- Product documentation
- CRM/ERP data
- Web pages
- Shared drives
- Database records
RAG reduces hallucination, boosts accuracy, and ensures responses include verified information.
LLM Engineering
- Custom LLM pipelines
- Fine-tuned models
- Domain-trained systems
- Guardrails & governance
- Multi-agent workflows
- Prompt engineering frameworks
These systems ensure AI behaves consistently and reliably within enterprise constraints.
Your AI becomes trusted because it uses verified knowledge.
The system stays within your compliance boundary — no external data leakage.
Workflows become accurate because AI understands your documents and rules.
Employees get answers in seconds, not hours.
AI becomes an internal expert across operations, finance, HR, sales, support, and legal.
RAG & LLM Engineering at Xotiv
For teams like support, sales, HR, legal, and operations.
Capabilities:
- Instant answers
- Context-aware responses
- SOP & policy explanations
- Document references
- Workflow actions
AI reads and understands:
- Policies
- Contracts
- Financial documents
- Technical documentation
- Legal files
Use cases include extraction, classification, summarization, compliance checks.
We design AI “teams” that collaborate to:
- Retrieve information
- Validate data
- Take action
- Generate multi-step outputs
Ideal for support automation, research, RFP generation, compliance review.
Transform search into:
- Semantic search
- Natural language Q&A
- Multi-source retrieval
- AI-driven ranking
Users ask questions in plain language and get precise answers.
Domain-specific models for:
- Healthcare
- Logistics & Supply Chain
- Finance
- Real estate
- HR
- SaaS
- E-commerce
- Manufacturing
Models understand your terminology, workflows, and formats.
We build enterprise chatbots with:
- Grounded answers
- Document citations
- Contextual memory
- Task execution capabilities
AI retrieves raw data, interprets it, and generates:
- Business summaries
- Performance reports
- Financial insights
- Audit-ready documents
Xotiv’s RAG & LLM Engineering Framework
- Document repositories
- Data formats
- Access rules
- Knowledge gaps
- Text extraction
- Cleaning
- Normalization
- Embedding chunking strategies
- Pinecone
- Weaviate
- Qdrant
- pgVector
- Milvus
Ensuring low-latency retrieval.
- GPT
- Llama
- Mistral
- Claude
- Gemini
And apply:
- Prompt engineering
- Output rules
- Safety guardrails
- Workflow orchestration
- Retriever
- Ranker
- Context builder
- Generator
- Safeguard layer
- Web apps
- Mobile apps
- Admin portals
- CRMs/ERPs
- Internal tools
- Accuracy
- Latency
- User feedback
- Drift
- Retrieval quality
Continuous improvements ensure reliability.
Technology Expertise
Pinecone, Weaviate, Qdrant, Milvus, pgVector
OpenAI, Anthropic, Mistral, Meta Llama, Gemini
LangChain, LlamaIndex, FastAPI, Node.js, Python
OpenAI, SentenceTransformers, Cohere
AWS, Azure, GCP, Vercel, Docker, Kubernetes
Business Impact Delivered
- 60–90% reduction in hallucinations
- Faster decision-making across teams
- Massive time savings on document-heavy processes
- Improved accuracy in support, finance, HR & legal workflows
- High employee adoption due to instant, accurate answers
Case Studies
ReadMyRhythm
InspireX
Sitenna
Immilink
Elevate
BathBoat
SnT Properties
Affco
Turf Assistant
UHC
Teen Therapy
Cultural Saree
Fuudie
Why Enterprises Choose Xotiv
Not just chatbots — full enterprise knowledge systems.
Data never leaves your environment.
We tailor everything to your data, structure, and workflows.
Low latency, high relevance, built for scale.
We understand your business — not just the technology.
Frequently Asked Questions
1. What is LLM Engineering?
It involves designing, fine-tuning, optimizing, and deploying Large Language Models customized to your domain, data, workflows, and business goals.
2. Do we need our own custom model?
Not always. We assess your needs and recommend:
- Fine-tuning an existing model
- Training a lightweight custom LLM
- Hybrid retrieval-augmented approach. Depending on accuracy, cost, and compliance needs.
3. Can LLMs run inside our private cloud?
Yes. We deploy LLMs on AWS, Azure, GCP, VPCs, or fully on-prem for regulated industries.
4. What kind of AI Agents do you build?
We build intelligent agents for:
- Research automation
- Sales & support automation
- Compliance workflows
- IT helpdesk
- Operational decision support. These agents take actions autonomously based on rules, policies, and LLM reasoning.
5. How do you prevent hallucinations?
We use:
- RAG architecture
- Domain-specific training
- Guardrails & policy checks
- Validation layers & fallback logic. This ensures accuracy, safety, and reliability.
Bring AGI-Level Intelligence Into Your Organization
Whether you need a domain-specific LLM, autonomous AI agent, or private enterprise AI engine — Xotiv builds it end-to-end.
Tarun Kumar
India Office 
A, 152, Sector 63 Rd, Industrial Area, Sector 63, Noida, Uttar Pradesh 201309
US Office 
Canada Office