Arun PrasadOpen AI 3'rd gen embedding models — what’s driving the improvements?The bedrock of semantic search is the vector embedding. The effectiveness of the vector embedding to capture (i) the concepts in the…Mar 21Mar 21
Arun PrasadSetting up a vector embedding pipeline with AIWhispr, Bert and Qdrant on MacOS.This blog shows how to setup a vector embedding pipeline using AIWhispr , SBert sentence transformer model, Qdrant vector database. This…Nov 2, 2023Nov 2, 2023
Arun PrasadVisualizing semantic search results and word embeddingsVisualizing the cosine distance of semantic search results and the PCA map of word embeddings is a powerful mechanism to understand how the…Oct 11, 2023Oct 11, 2023
Arun PrasadAdding a module in AIWhispr : support semantic search for files in a new cloud storage.My earlier blog provided an overview of the modular design approach in AIWhispr that activates a no/low-code , configuration driven…Sep 3, 2023Sep 3, 2023
Arun PrasadinGoPenAIOverview of AIWhispr design to drive semantic search using configs.AIWhispr is an open source tool to enable LLM(large-language-model) powered semantic search. It offers a no/low-code option for users to…Sep 1, 2023Sep 1, 2023
Arun PrasadSemantic search over 2000+ news stories with AIWhispr and QdrantSemantic search is a powerful technique to engage with readers searching for news content, blogs relevant to their query. It goes beyond…Aug 20, 2023Aug 20, 2023
Arun PrasadDocument Retrieval with Semantic Search: Introducing AIWhisprIntroducing AIWhisprAug 15, 2023Aug 15, 2023