What is a RAG pipeline?

RAG (Retrieval Augmented Generation) lets an LLM answer questions based on your proprietary data not just its training data.

How long does AI integration take?

A basic chatbot integration takes 2–4 weeks. A full RAG system with custom data takes 4–8 weeks.

Which LLM do you use?

We're model-agnostic we use GPT-4, Claude, Groq, or open-source Llama models based on your budget and requirements.

Can you build a chatbot that knows our product?

Yes we train RAG pipelines on your documentation, PDFs, and knowledge base.

Is AI expensive to run in production?

We optimize for cost using smaller models where possible, caching responses, and monitoring token usage.

AI & ML Solutions

Bring Intelligence to Your Product

From RAG-powered chatbots to predictive analytics dashboards, we integrate AI into real products. Our team has hands-on experience with LangChain, Groq API, HuggingFace, Qdrant, and custom model deployment on AWS.

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What is AI & ML Solutions?

Why is AI & ML Solutions important for your business?

Modern businesses that invest in ai & ml solutions gain a measurable competitive advantage — faster operations, better customer experience, and lower long-term costs. Without it, teams rely on manual processes, outdated tools, and disconnected systems that slow growth. AI & ML Solutions replaces that friction with software built specifically for your workflows.

How does Axom Infotech deliver AI & ML Solutions?

Axom Infotech delivers ai & ml solutions through a structured 5-phase process: AI Strategy → Data Preparation → Model Development → Integration → Monitoring. Every engagement includes fixed-price contracts, direct engineer access, weekly progress updates, and a 30-day bug-fix warranty post-launch. Our team in Indore, India has delivered ai & ml solutions solutions for clients across India, USA, UK, UAE, and Singapore.

What's Included

Everything in the scope

RAG Pipeline (LangChain + Vector DB + LLM)

AI Chatbot & Virtual Assistant

Custom GPT-4 / Claude / Llama fine-tuned models

Predictive analytics dashboards

Computer vision & image recognition

NLP & sentiment analysis

AI Agent / Agentic workflow development

OpenAI / Anthropic / Groq API integration

Our Process

How we deliver AI

AI Strategy

Identify the highest-impact AI use cases for your product.

Data Preparation

Data collection, cleaning, and vectorization for model training.

Model Development

RAG pipeline or model fine-tuning on your domain data.

Integration

Embed AI features into your existing product via API.

Monitoring

Model performance monitoring, hallucination detection, and iteration.

FAQ

Questions about AI & ML Solutions

RAG (Retrieval Augmented Generation) lets an LLM answer questions based on your proprietary data not just its training data.

Related Services

Data Analytics

Turn Your Data Into Decisions

Ready to get started with AI & ML Solutions?

Book a free 30-minute discovery call. We'll scope your project and give you a clear timeline and estimate.

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