AI-powered search without hiring a data science team. 🚫 It's surprising how many ways you can describe the same thing. 🚫 Keyword search is hard in specialized domains, such as patent search. 🚫 Upper limit to how many keywords can be used. 🚫 You need trained people to pick the right keywords. 🚫 Even with the right people, the search can be too narrowly constrained. 🔎 Semantic search techniques can help. How? ✅ Semantic search understands the meaning of the search, not just the literal keywords. ✅ Synonyms don't have to be explicitly included. ✅ No need to carefully pick the right keywords for the search. ✅ No need to derive page ranking or other indirect information to rank results. 🧠 There are well understood and tested machine learning models that enable semantic search: Doc2vec, LSA, BERT, GPT, just to name a few. 🧐 BUT... 🚫 Starting a data science program can cost ~$250k+ a year. That's if you're a scrappy startup. More if you're a large enterprise. 🚫 Building and hosting machine learning models has some unique cost centers that other software businesses don't: Compute; and Human in the loop. ⤴️ You upload data and Traindex.io gives you an API that you can integrate into your custom application or workflow. 🔍 Traindex.io engineers take care of: ✅ Data cleaning and preprocessing ✅ Hyper parameter tuning ✅ Training ✅ Hosting 💾 We have built-in data sets already indexed, so you don't need to bring anything to get started: ➡️ US Patents Corpus ➡️ Wikipedia ➡️ arXiv.org (coming soon) 👷♀️Don't have a team to do custom integration? No problem. We offer professional services at very reasonable rates.