Published inAI AdvancesFrom LangChain to LangGraph: Making the Multi-Model DrugBot Personal and TeachableAdding memory and learning ability to the human-in-the-loop chatbotNov 233Nov 233
Tailor a Multi-Model Chatbot for a Multi-Model DuckDBA Human-in-the-loop chatbot capable of SQL, graph, vector, and full-text queriesOct 302Oct 302
DuckDB as a DrugDB: a Free and Simple Multi-Model Drug and Trial DatabaseA fourth case study of the clinical trialsOct 151Oct 151
Build a Drug Trial Database with the Multi-Model SurrealDBA third case study of the clinical trialsOct 15Oct 15
PostgreSQL Goes Multi-Model: Graph, Vector, and SQLA second case study of the clinical trialsSep 18Sep 18
Clinical Trial Search with Google Spanner: Graph, SQL, Vector, and LLM All in One QueryBuild a multi-model database that connects drugs, disorders, and clinical trialsSep 21Sep 21
Estimate House Price in Tokyo: the AutoML and MLOps ApproachManaging the H2O AutoML project with Weights & BiasesAug 4Aug 4
Published inCodeXOld Drugs, New Uses: the Graph Neural Network ApproachUsing PyG’s link prediction to find new drug indicationsMay 8May 8
Published inCodeXKnow Your Drugs: A Knowledge Graph for Drug-Drug-Disease InteractionsBuild a shared database for drugmakers, FDA, doctors, and patientsMar 1Mar 1
Published inCodeXGetting Insights from 3,000+ Clinical Trials in a Knowledge GraphBuild an analytic platform with Google Healthcare Natural Language API, the Unified Medical Language System, and Neo4jFeb 5Feb 5