Director of Product at Macrobond | Investment Research Specialist | Financial Markets AI
I've temporarily passed the Limeglass blogging baton to CTO Simon Gregory! Simon is writing a series of articles that get into the weeds on using #search for #investmentresearch - it's great stuff. In his first article, he writes about the importance of time. 🕰 🗓 Some key takeaways: 💡 Traditional search engines (and recent Retrieval Augmented Generation tools) are bad at providing results based on a smart consideration of chronology and document shelf-life 💡 Research documents and users of research search tools are unusually sensitive to time 💡 Limeglass has built its own search engine that treats time as a first class citizen Message to #Banks & #Research Houses: If you're building #RAG solutions or updating your search tools, give us a call! Don't fall into the trap of making time a 2nd class citizen - your users will not thank you.
Making Search Work for Investment Research #Searchengines have not been able to give good results for #InvestmentResearch content. In this article, Limeglass Ltd Co-Founder & CTO Simon Gregory discusses a practical view on why that is, as well as the latest advances in search, #LLMs, #vectorembeddings and what to be aware of when applying them to investment research. Part 1 – Time, Evolution & Chronology The Investment Research universe is dynamic and rapidly expanding, so an effective search engine needs to embrace time, evolution, and chronology to avoid falling into a black hole. Read more here: https://lnkd.in/dqMxZutz