Hi All, This week I released AIWhispr version 0.941 for general use with 2 new features based on feedback from the community. AIWhispr is a free, open-source, no/low-code tool to automate vector embedding pipelines on Typesense. It includes connectors to cloud storage (S3, Google, Azure) and can handle multiple file formats (pdf, txt, docx, pptx, xlsx). New features added in this release : 1\ A drop down list for users to select the LLM model (13 models under SBert, 1 model under OpenAI) for their vector embedding pipeline. It also provides the model card. Screen snapshot is attached. 2\ Automatically calculate text chunk size appropriate for the model. Asks: Please let me know of any product features to help you start your semantic search/vector embedding journey.