Internal RAG Chatbot Platform

Responsibilities & Achievements

• Designed and developed an internal RAG chatbot system for document search and grounded question answering

• Built a Docker Compose-based multi-service platform to support reproducible local development and on-premise deployment

• Implemented an asynchronous ingestion workflow with Celery and Redis for document parsing, embedding, and indexing

• Built contextual retrieval with Qdrant to enable semantic search over internal documents

• Added JWT-based authentication and RBAC to secure platform access

• Conducted internal benchmark testing with 10 concurrent users and 30 requests, achieving 100% successful request completion