Open-Source Python Package aicurt v0.1.1 Adds RAG and Retrieval APIs for LLM Developers

A developer has released aicurt v0.1.1, an open-source Python package aimed at simplifying the integration of Large Language Models with custom data pipelines. The initial version, v0.1.0, introduced utilities for PII detection, text chunking, and tokenization, but lacked robust data retrieval capabilities. The new release addresses this gap by exposing core RAG and retrieval classes — including AICurtEmbedder, AICurtMemoryStore, AICurtStore, and AICurtRAG — directly at the package root for cleaner imports. Version 0.1.1 also supports keyword, semantic, and hybrid search workflows, with a fully overhauled README providing implementation guides. The update positions aicurt as a dedicated tool for retrieval infrastructure and AI search, reducing the boilerplate developers typically write from scratch.