Building Research Agents for Tech Insights

A specialized research agent can be built to provide personalized tech insights, surpassing the generic outputs of tools like ChatGPT. This system relies on a unique, pre-processed data source from tech forums, a controlled workflow, and prompt chaining techniques. The architecture involves a data pipeline that uses smaller NLP models to extract and cache keywords and facts, making the process efficient. The agent operates in two main parts: first, it establishes a user persona with specific interests, and second, it generates reports by fetching relevant data and using a chain of LLM prompts to identify themes and create summaries.