In collaboration with the Predibase team, a new integration between LangChain and Predibase has been announced, enhancing workflow capabilities for open-source models. Predibase is a developer platform designed for operationalizing open-source large language models (LLMs), offering features such as deploying pre-trained or custom models, fine-tuning LLMs with minimal code, and enabling an end-to-end Retrieval Augmented Generation (RAG) system without the complexities. It supports various interfaces, including a UI and a Python SDK, and can be deployed on Predibase-managed infrastructure or securely within a user's Cloud VPC to ensure data privacy. The integration with LangChain allows developers to incorporate hosted open-source models on Predibase into their projects, providing a streamlined process for building applications such as Q/A systems. This initiative aims to bring production-grade standards to open-source models, making it an attractive alternative to commercial LLM providers for those concerned with privacy or cost. The community is encouraged to explore these new capabilities and contribute ideas through the LangChain Discord or support channels.