Hello.

I created a simple vector database called "Vector IDB" that runs directly in the browser using IndexedDB. It's designed to store and query JSON documents with vector embeddings, similar to Pinecone, but implemented locally. The API is basic with insert, update, delete, and query functions. While it lacks optimizations like pre-filtering and advanced indexing found in dedicated vector databases, it provides a starting point for experimenting with vector search in the browser without relying on external services. The project was a fun way to learn about vector databases and their use with embeddings from APIs like OpenAI.

I built Ask Paul, a generative AI demo that answers front-end web dev questions using my content. It leverages Polymath-AI to index content, find related concepts, and generate summaries by creating embedding vectors, using cosine-similarity, and querying OpenAI. The implementation has a UI, a Polymath Client, and a Polymath Host. It's super cool how accessible this tech is now!