We’re excited to share that the recording of our colleague Max Schattauer’s presentation, "Improving Retrieval Q&A Contextualization Prompts," from the Prompt Engineering Conference 2024 is now available!

In his insightful session, Max tackled a critical challenge in chatbot and Q&A systems: ensuring retrieval queries effectively leverage conversation history. Simply relying on the latest user query often results in incomplete or inaccurate document retrieval. Max demonstrated how query contextualization can transform scattered conversation data into a cohesive and effective retrieval query.

Key points covered in the session:

• The role of query contextualization in improving the accuracy and quality of retrieval in Q&A/chatbot systems.
• Common threats to retrieval quality, such as missing context or irrelevant responses, and strategies to address them.
• Leveraging TextGrad to create optimized contextualization prompts and enhance overall performance.
• Real-world examples showcasing how these techniques are applied to build industry-grade AI solutions that boost customer satisfaction.

The talk is packed with practical insights and actionable strategies for anyone working in AI, natural language processing, or chatbot development.

If your business is facing challenges in building smarter chatbots or improving retrieval systems, reach out to us. We’re here to help you design innovative solutions tailored to your needs.

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📺 Watch the full recording below:

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