Build a Reliable RAG System for Your AI Product by Hamza MoorajBuild a Reliable RAG System for Your AI Product by Hamza Mooraj
Build a Reliable RAG System for Your AI ProductHamza Mooraj
I design and implement Retrieval-Augmented Generation (RAG) systems that ground large language models in your proprietary data to improve factual reliability and reduce hallucinations.
This service includes:
Document ingestion and preprocessing
Embedding generation and vector database setup
Retrieval tuning and prompt engineering
Local or API-based LLM integration
Evaluation and reliability testing
Ideal for startups building AI assistants, internal knowledge tools, or domain-specific chatbots that require grounded and verifiable responses.
FAQs
Yes. I can integrate RAG with OpenAI, Anthropic, or open-source models depending on your requirements.
Yes. I can design local-first architectures using open-source models for privacy-sensitive applications.
Build a Reliable RAG System for Your AI ProductHamza Mooraj
Starting at$120
Duration2 weeks
Tags
NLP
AI Chatbot Developer
Chatbot Development
Generative AI
Large Language Models
Machine Learning
RAG
Vector Database
I design and implement Retrieval-Augmented Generation (RAG) systems that ground large language models in your proprietary data to improve factual reliability and reduce hallucinations.
This service includes:
Document ingestion and preprocessing
Embedding generation and vector database setup
Retrieval tuning and prompt engineering
Local or API-based LLM integration
Evaluation and reliability testing
Ideal for startups building AI assistants, internal knowledge tools, or domain-specific chatbots that require grounded and verifiable responses.
FAQs
Yes. I can integrate RAG with OpenAI, Anthropic, or open-source models depending on your requirements.
Yes. I can design local-first architectures using open-source models for privacy-sensitive applications.