AI Knowledge Base & RAG Chatbot Development by Hilmi HAI Knowledge Base & RAG Chatbot Development by Hilmi H
AI Knowledge Base & RAG Chatbot DevelopmentHilmi H
Cover image for AI Knowledge Base & RAG Chatbot Development
Turn your documents and internal knowledge into a reliable AI assistant for your customers or team.
I build RAG-powered knowledge bases and chatbots that retrieve relevant information from your approved content before generating a response. This makes the assistant easier to update, easier to monitor, and better aligned with the information your business wants to share.
I can help you build:
Customer support knowledge bases
Internal documentation assistants
Document question-and-answer systems
AI chatbots for websites and SaaS products
Product and technical documentation assistants
Multi-tenant knowledge bases with user permissions
AI search across PDFs, documents, webpages, and structured content
Source references and citations for generated answers
Fallback responses when the knowledge base does not contain an answer
Conversation history, user feedback, and response tracking
Admin dashboards for managing documents and knowledge sources
OpenAI and other LLM integrations
API integrations with your existing application or business tools
The implementation can include:
Document upload and content processing
Chunking, embeddings, and vector search
Retrieval and prompt orchestration
Knowledge source management
Authentication and access control
Tenant and workspace isolation
Response guardrails and context limits
Retrieval logs and AI response monitoring
Testing with realistic questions and edge cases
Deployment and technical handover
My typical process:
Understand your users, use cases, and knowledge sources
Define what the assistant should and should not answer
Prepare the ingestion and retrieval pipeline
Build the chatbot and knowledge management interface
Test retrieval quality, citations, fallback behavior, and response consistency
Deploy, document, and prepare the system for future improvements
Typical stack:
OpenAI, Laravel, PHP, React, Next.js, Supabase, PostgreSQL, pgvector, REST APIs, and cloud deployment.
This service is a good fit if you:
Have internal documents or support content that users struggle to navigate
Want to reduce repetitive support questions
Need an AI assistant connected to your own business knowledge
Want more control than a generic chatbot tool provides
Need authentication, permissions, integrations, and an admin interface
Send me your documents, knowledge base, support workflow, or existing application. I will help define the right RAG architecture and the smallest useful version to build first.
FAQs

Contact for pricing
Duration1 week
Tags
Laravel
OpenAI
RAG
React
Supabase
Vector Search
AI Chatbot Developer
AI Developer
LLM
Service provided by
Hilmi H Banyuwangi, Indonesia
2
Followers
AI Knowledge Base & RAG Chatbot DevelopmentHilmi H
Contact for pricing
Duration1 week
Tags
Laravel
OpenAI
RAG
React
Supabase
Vector Search
AI Chatbot Developer
AI Developer
LLM
Cover image for AI Knowledge Base & RAG Chatbot Development
Turn your documents and internal knowledge into a reliable AI assistant for your customers or team.
I build RAG-powered knowledge bases and chatbots that retrieve relevant information from your approved content before generating a response. This makes the assistant easier to update, easier to monitor, and better aligned with the information your business wants to share.
I can help you build:
Customer support knowledge bases
Internal documentation assistants
Document question-and-answer systems
AI chatbots for websites and SaaS products
Product and technical documentation assistants
Multi-tenant knowledge bases with user permissions
AI search across PDFs, documents, webpages, and structured content
Source references and citations for generated answers
Fallback responses when the knowledge base does not contain an answer
Conversation history, user feedback, and response tracking
Admin dashboards for managing documents and knowledge sources
OpenAI and other LLM integrations
API integrations with your existing application or business tools
The implementation can include:
Document upload and content processing
Chunking, embeddings, and vector search
Retrieval and prompt orchestration
Knowledge source management
Authentication and access control
Tenant and workspace isolation
Response guardrails and context limits
Retrieval logs and AI response monitoring
Testing with realistic questions and edge cases
Deployment and technical handover
My typical process:
Understand your users, use cases, and knowledge sources
Define what the assistant should and should not answer
Prepare the ingestion and retrieval pipeline
Build the chatbot and knowledge management interface
Test retrieval quality, citations, fallback behavior, and response consistency
Deploy, document, and prepare the system for future improvements
Typical stack:
OpenAI, Laravel, PHP, React, Next.js, Supabase, PostgreSQL, pgvector, REST APIs, and cloud deployment.
This service is a good fit if you:
Have internal documents or support content that users struggle to navigate
Want to reduce repetitive support questions
Need an AI assistant connected to your own business knowledge
Want more control than a generic chatbot tool provides
Need authentication, permissions, integrations, and an admin interface
Send me your documents, knowledge base, support workflow, or existing application. I will help define the right RAG architecture and the smallest useful version to build first.
FAQs

Contact for pricing