Agentic RAG Upgrade with Self-Correction & Multimodal Support
Feature Description
Lumenore introduces an upgrade to its Retrieval Augmented Generation (RAG) framework by moving from a linear retrieve-then-generate approach to an Agentic RAG architecture with a self-correction loop
The system now evaluates the relevance of retrieved documents before generating responses. If the retrieved data is not relevant, Ask Me automatically rewrites the query and retries retrieval to improve answer accuracy.
If the system still detects low confidence after retries, it will request clarification from the user instead of generating a potentially incorrect response, reducing hallucinations and improving trust in AI-generated insights.
This upgrade also introduces multimodal support, enabling the platform to process and retrieve insights from textual, audio, and visual content. You can also upload images as part of their query, and if a relevant chart or visual exists in the knowledge base, the system can return the corresponding image within the response.
The system now supports ingestion of multiple file formats including DOCX, DOC, PDF, TXT, HTML, MP3, MP4, MOV, and more, ensuring broader knowledge base coverage, improving response accuracy, reducing hallucinations, and allowing you to query insights across textual, audio, and visual data sources.
End User Business Benefits
Higher Accuracy & Reduced Hallucinations
Self-correction loop ensures only relevant data is used, improving trust in AI-generated insights.
Smarter Query Handling
Automatically refines queries and retries retrieval, eliminating the need for users to rephrase questions manually.
Confidence-Aware Responses
Asks for clarification instead of giving uncertain answers, preventing misleading insights.
Multimodal Intelligence
Users can query across text, images, audio, and video—unlocking insights from previously unused data sources.
Improved Knowledge Accessibility
Breaks silos by enabling a single interface to access diverse formats and datasets.
Time Savings & Productivity
Reduces manual effort in searching through documents, watching videos, or listening to recordings.
Context-Rich Insights
Returns not just answers, but also visuals, timestamps, and source-backed explanations.
Future-Ready Analytics
Supports a wide range of file formats, ensuring scalability as data complexity grows.
