RAG Pipelines & Arabic NLP

Overview

RAG (Retrieval-Augmented Generation) pipelines and Arabic NLP systems powering enterprise knowledge bases and conversational AI.

Challenge

Building AI-powered automation that works natively with Arabic text. Standard NLP tools are English-first, and Arabic's morphological complexity requires specialized handling at every stage of the pipeline.

Approach

• Built RAG pipelines using LangChain for knowledge base search and document retrieval
• Developed Arabic NLP chatbots using Rasa with custom Arabic language processing
• Integrated LLM APIs into backend services for intelligent conversation flows
• Designed prompt engineering strategies for Arabic enterprise contexts

Results

The systems serve production workloads across multiple enterprise clients, handling Arabic-first conversational AI with contextually accurate knowledge retrieval.