AI Engineering

Custom AI Chatbot Development Services

Automate customer inquiries and team operations. We design and build secure, RAG-integrated AI chatbots that answer accurately without hallucinating.

Service Overview

Customers expect instant support. Our AI Chatbot Development Services allow you to deploy smart, conversational agents that know your business inside out. We combine state-of-the-art LLMs with secure Vector Database clusters so your chatbot answers inquiries, qualifies leads, and schedules appointments safely.

Benefits

Strategic advantages we deliver

We prioritize execution speed, architecture stability, and measurable business outcomes.

Cut Support Costs by 60%

AI chatbots handle up to 80% of repetitive customer inquiries instantly, freeing your support team for complex tickets.

No-Hallucination Retrieval

We use Retrieval-Augmented Generation (RAG) to restrict responses to your approved PDF databases and docs.

Multilingual Support 24/7

Respond to global customers instantly in English, Hindi, Spanish, French, Arabic, and 80+ other languages.

Features

Engineered with robust capabilities

Every codebase is built with responsive UI, secure logic, and clean architectures.

Retrieval-Augmented Generation (RAG)

Sync chatbots with internal manuals, wikis, and PDFs using vector databases for accurate answers.

Intelligent Lead Qualification

Chatbots collect emails, screen budgets, and sync prospects directly with your CRM databases.

Omnichannel Integrations

Deploy AI assistants across WhatsApp Business, Telegram, Slack, Web widgets, and custom mobile apps.

Seamless Human Escalation

Detect high frustration, and transition the conversation history to a live agent dynamically.

Granular Analytics Logs

Review user query topics, bot resolution ratios, popular features, and user ratings.

Data Privacy Compliance

PII masking filters, secure vector databases (Pinecone/pgvector), and data storage guidelines.

Execution

Our development roadmap

A weekly milestone-driven blueprint guiding your build safely to launch.

01

Knowledge Auditing

Collect document PDFs, wiki links, chat transcripts, and set chatbot personality parameters.

02

Vector Database Setup

Chunk texts, generate vectors, and configure safe semantic search indexes.

03

LLM API Connections

Connect OpenAI, Anthropic, or Gemini APIs with optimized prompts and constraints.

04

UI Chat Widget Build

Develop the floating web chatbot bubble, message states, and live agent integrations.

05

Prompt Testing & Launch

Run test scenarios to check accuracy, verify safety blocks, publish, and monitor metrics.

FAQs

Frequently Asked Questions

Find answers to common project scoping, cost estimation, and technical deployment queries.

How do you prevent the AI from making up information?

We employ Retrieval-Augmented Generation (RAG). Before answering, the LLM searches a database of your approved files. It is strictly instructed to say 'I do not know' if it cannot find the answer in the provided documents.

Which LLMs do you support?

We support industry-leading models including OpenAI (GPT-4o), Anthropic (Claude 3.5 Sonnet), and Google (Gemini 1.5 Pro). We select the model that best matches your budget and processing needs.

Can the chatbot write database records?

Yes. Using function calling (tool use), our chatbots can verify order numbers, schedule database calendar events, and check shipping status safely via APIs.

Ready to build your solution?

Partner with Magnivel Technologies to turn your concept into reliable, clean-coded software.