From Product Zero to Agentic Chat: A Five-Year Build
From Product Zero to Agentic Chat: A Five-Year Build The Challenge The client set out to build a content intelligence platform that could deliver real-time, context-aware answers drawn from diverse data sources. Early retrieval systems were too slow, with response times stretching to tens of seconds. This created a poor user experience and added significant […]
AI-Powered Industrial Incident Analysis and Root Cause Automation
AI-Powered Industrial Incident Analysis and Root Cause Automation The Challenge Industrial incident investigations relied on manual and inconsistent data collection. Witness statements often remained unstructured, slowing root cause analysis and corrective action planning. The customer, a U.S.-based occupational safety copilot backed by private equity, aimed to modernize this process with an AI-guided digital system that […]
Self Healing Knowledge Base with AI-Driven Metadata and Taxonomy at Scale
Self-Healing Knowledge Base with AI-Driven Metadata and Taxonomy at Scale The Challenge Document bases with potentially million documents are very challenging to manage, classic knowledge base scalability challenges. This is required for proper organization, searchability, removing duplication and many more. Most of the documents do not have any tags / categories to identify their content […]
Vision-Language OCR for PDFs and Spreadsheets Elevates Multimodal Q&A from 45% to 75%
Vision-Language OCR for PDFs and Spreadsheets Elevates Multimodal Q&A from 45% to 75% The Challenge The system faced significant limitations in handling multimodal documents: PDFs: No text extraction was available for non-editable and scanned PDFs, making Q&A impossible and highlighting a gap in AI for PDFs within broader multimodal document processing. Visuals: Images, figures, and […]
LLM based evaluation pipeline to reduce human effort on answer validation
LLM-based evaluation pipeline to reduce human effort on answer validation The Challenge Manually validating answers after updates in the application was time-consuming, repetitive, and required significant human effort. This bottleneck made rapid iteration and quality control difficult, blocking efforts to reduce human effort in QA validation. Hypothesis Leveraging an LLM to evaluate answer quality by […]
HTML to Markdown and Table Chunking Achieve 20% RAG Accuracy Gain
HTML to Markdown and Table Chunking Achieve 20% RAG Accuracy Gain The Challenge The initial HTML ingestion pipeline was extracting only raw text, losing critical structural elements like links, formatting, and hierarchy. Additionally, answers derived from long tables were often incomplete or inaccurate because of loss of structured data due to ingestion. This highlighted a […]
LLM-Grounded Citations for Trustworthy RAG Answers
LLM-Grounded Citations for Trustworthy RAG Answers The Challenge Citations, a key factor for explainable AI question answering, returned alongside answers in the RAG pipeline were often incorrect or misleading, hurting citation accuracy in RAG systems. The LLM didn’t consistently utilize all retrieved documents, making it hard to trace answers back to sources. Additionally, hallucinations and […]
Hybrid BM25 and KNN Vector Search Achieves 22% Retrieval Uplift
Hybrid BM25 and KNN Vector Search Achieves 22% Retrieval Uplift The Challenge The initial search implementation was mostly aligned towards traditional keywords-based matching and hence failed to retrieve documents having similar content. Both the recall and ranking of documents were below expectation, especially for enterprise search optimization scenarios. Hypothesis A hybrid approach including semantic similarity […]
An EEG and Biometric-Based Emotion AI System for Real-Time Consumer Insights
An EEG and Biometric-Based Emotion AI System for Real-Time Consumer Insights The Challenge Traditional surveys in neuromarketing research and polls often fail to capture what people truly feel. They can be biased, slow, and unsuccessful in capturing how emotions shift in real time. This makes it difficult to understand why someone prefers, remembers, or avoids […]
A Natural Language Interface for making Investment Decisions with Business Intelligence Chart and SQL Generation using LLMs
A Natural Language Interface for making Investment Decisions with Business Intelligence Chart and SQL Generation using LLMs The Challenge A investment bank aims to develop a Question Answering system capable of responding to natural language queries about stocks. Tatras utilized an open-source LLMs designed to transform natural language questions into valid SQL queries. This system […]