Challenges

High Operational Costs

The system had inefficient data ingestion processes with high load times. Excessive expenses were being incurred during data processing operations, necessitating cost minimization strategies.

Inaccurate Product Responses

The system was generating incorrect or unreliable responses that required root cause analysis and solution implementation.

Poor Contextual Understanding

The language model lacked sufficient contextual comprehension, requiring input data optimization and methodology transitions.

Solution

Delta Pipeline Implementation

Implemented a delta pipeline for incremental RAG data ingestion using Delta Lake's Change Data Feed capabilities. This approach significantly reduced data load times and costs while maintaining a real-time knowledge base.

Root Cause Analysis and Solutioning

Identification of the causes of inaccurate responses and implementation of solutions including an agent-based approach, transitioning from vector to graph-based methods, and optimizing input data to enhance contextual understanding. This minimized cost and time involved while ensuring accurate and reliable responses without hallucination.

Impact

Seamless Real-Time RAG Pipeline

Enables instant access to updated insights by retrieving relevant market data in real time.

Significant Improvement In Response Accuracy

Leverages context-aware retrieval to provide precise, reliable answers to complex queries. Reduces hallucinations by grounding responses in validated, domain-specific sources.