
Harnessing Retrieval-Augmented Generation for Intelligent Conversational Experiences
Building a Topic-Specific AI Chatbot with RAG
Roles: New Business Planning, UX Design, RAG Architecture, Development
At Goldrush Computing, we leveraged a company’s existing documents and knowledge base to develop a domain-specific chatbot that delivers precise answers based on user inquiries. By employing OpenAI’s Embeddings to transform the knowledge base into a vector database, we achieved highly accurate topic identification aligned with each conversation’s context.
Key Highlights
1. Rebuilding the Internal Knowledge Base
- Processed and structured a large volume of client-provided documents—classifying, tokenizing, and registering them into a vector database.
- Clearly defined the system’s reference sources, boosting the accuracy of responses.
2. Topic Control with RAG
- Utilized Retrieval-Augmented Generation (RAG) at the outset of each conversation to categorize user queries in detail.
- Fetched relevant content from a relational database based on the identified topic and dynamically generated prompts, enabling targeted, domain-specific answers.
3. UI/UX Design and Fail-Safe Mechanisms
- Tailored the chatbot’s character and conversational style to match the age range of the target audience, ensuring an intuitive user experience.
- Addressed edge cases and inappropriate inputs with ethical filtering and error handling, making the chatbot both reliable and user-friendly.
4. Broader Business Applications
- Streamlined knowledge management and inquiry handling within the company, reducing operational costs and improving efficiency.
- Demonstrated how RAG can be integrated into more structured systems and workflows, enabling automated data linkage and document retrieval—critical for accelerating new business initiatives.
5. Evaluating Other LLMs
- While the project primarily leveraged OpenAI’s Embeddings, we later tested other large language models (e.g., Gemini) to explore further optimizations.
Through this proof-of-concept, we gained valuable know-how in RAG deployment and conversational flow design—expertise that can be readily extended to various domains, including manufacturing troubleshooting, training programs, knowledge sharing, and automated customer support. Goldrush Computing continues to offer solutions centered on chatbot and RAG technologies, empowering businesses to drive innovation and set their products apart in competitive markets.
Genre:
AI, Machine Learning, RAG, OpenAi
Year:
2023
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