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Catch issues before they derail you product launch. The Problem: When Insights Arrive Too Late It’s week three after the new product launch. Early monitoring shows a growing spike of negative sentiment toward the product compared to competing products – though sentiment was well above parity on launch day. Pharmacies are reporting patient concerns. Medical information calls are higher than expected. You have thousands of pieces of feedback but no…

Today is the big day. Maybe your product just launched, your new feature went live, or the results of the survey are in. Thousands of comments, reviews, support tickets (or whatever other data you can imagine) are flooding your system, and your team desperately needs to make sense of it all. But first, someone has to organize all this feedback into a meaningful form. Using traditional methods, a team might…

Across industries, businesses constantly struggle to extract valuable insights from complex documents such as financial reports or research papers. These documents often contain a mix of dense text, tables packed with data, and intricate charts. Manually pulling insights from such material is not only tedious but also slows down decision-making, introduces risk, and can limit a company’s ability to stay ahead in fast-paced markets. Now, imagine a solution that automates…

1. What Is RAG? Imagine pairing a super‑fast semantic search engine with a large language model (LLM). The search engine grabs the most relevant facts found in the loaded corpus of documents; the LLM turns those facts into clear answers. That combo is Retrieval‑Augmented Generation (RAG). 2. How Does It Work? Retrieve – The system quickly searches your chosen knowledge sources (public sites, private docs, etc.) and pulls out the…