HelixDB/helix-py

AI Summary: Develop a custom, integrated chunking and vectorizing pipeline within the helix-py library. This pipeline should accept text and data as input, chunk it based on configurable rules, vectorize the chunks, and upload the resulting vectors to a HelixDB instance using HelixDB queries. The goal is to streamline the process of preparing data for use with HelixDB RAG agents.