01
Feature 01
AI-powered customer support assistant
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AI Customer Support Platform
AI Customer Support ~ RAG
AI Customer Support RAG is an intelligent customer support platform designed to act as an AI support employee. It uses company knowledge and retrieval-augmented generation to answer customer questions, provide relevant information, create support tickets, and escalate complex conversations to human agents.
- Role
- Full Stack AI Engineer
- Timeline
- In progress
- Type
- Production Build
01 / Overview
The project story.
AI Customer Support RAG is an intelligent customer support platform designed to act as an AI support employee. It uses company knowledge and retrieval-augmented generation to answer customer questions, provide relevant information, create support tickets, and escalate complex conversations to human agents.
AI ApplicationRAGCustomer SupportFull Stack Development
02 / What it does
Built around the details.
Core capabilities designed to make the product reliable, useful, and ready for real-world use.
02
Feature 02
Retrieval-augmented generation (RAG)
03
Feature 03
Company knowledge base ingestion
04
Feature 04
Document embedding and vector search
05
Feature 05
Context-aware customer conversations
06
Feature 06
Automated support ticket creation
07
Feature 07
Human escalation workflow
08
Feature 08
Conversation history and management
09
Feature 09
Admin dashboard for support operations
010
Feature 010
Knowledge base management
011
Feature 011
AI-powered response generation
012
Feature 012
Scalable API architecture
03 / Engineering
Problems, solved.
Challenge 01
Providing accurate answers from large and changing company knowledge bases
Approach
Implemented a retrieval-augmented generation pipeline for company-specific knowledge
Challenge 02
Reducing hallucinations by grounding AI responses in retrieved information
Approach
Built document ingestion and embedding workflows for searchable knowledge bases
Challenge 03
Designing reliable multi-step AI support workflows
Approach
Designed AI agent workflows for customer support and escalation
Challenge 04
Managing vector search and conversational context efficiently
Approach
Integrated vector search to retrieve relevant context before generating responses
Challenge 05
Balancing AI automation with human escalation when required
Approach
Created a scalable backend architecture for AI-powered support operations
04 / Toolkit
Made with the right tools.
Next.jsReactTypeScriptTailwind CSSShadcn UIFastAPIPythonPostgreSQLQdrantLangChainLangGraphRedisDockerLLM APIs
Feature 01AI-powered customer support assistant
Feature 02Retrieval-augmented generation (RAG)
Feature 03Company knowledge base ingestion
Feature 04Document embedding and vector search
Feature 05Context-aware customer conversations
Feature 06Automated support ticket creation
Feature 07Human escalation workflow
Feature 08Conversation history and management
Feature 09Admin dashboard for support operations
Feature 10Knowledge base management
Feature 11AI-powered response generation
Feature 12Scalable API architecture
05 / Outcome
Results that matter.
An AI-powered customer support platform that combines company-specific knowledge retrieval with intelligent agent workflows to automate support while keeping human escalation available.
06 / In the product
A closer look.