Adaptive RAG with Google Gemini & Qdrant: context-aware query answering

Description This workflow automatically classifies user queries and retrieves the most relevant information based on the query type. 🌟 It uses adaptive strategies like; Factual, Analytical, Opinion, and Contextual to deliver more precise and meaningful responses by leveraging n8n's flexibility. Integrated with Qdrant vector store and Google Gemini, it processes each query faster and more effectively. 🚀

How It Works? Query Reception: A user query is triggered (e.g., through a chatbot interface). 💬

Classification: The query is classified into one of four categories:

Factual: Queries seeking verifiable information.

Analytical: Queries that require in-depth analysis or explanation.

Opinion: Queries looking for different perspectives or subjective viewpoints.

Contextual: Queries specific to the user or certain contextual conditions.

Adaptive Strategy Application: Based on classification, the query is restructured using the relevant strategy for better results.