v0.14.19

The LlamaIndex team has rolled out version 0.14.19, a significant maintenance and feature update for their widely-used framework for building LLM-powered applications. This release is primarily focused on stability, patching several critical bugs in the core indexing and retrieval engine. Key fixes include correcting how documents are deleted from the storage system, ensuring consistency between synchronous and asynchronous retrieval methods, and resolving issues with SQL query generation that could break database interactions. These core improvements make production RAG (Retrieval-Augmented Generation) systems more reliable.

On the feature front, the update brings expanded LLM provider support. Most notably, the `llama-index-llms-openai` package now officially supports OpenAI's recently announced GPT 5.4 Mini and Nano variants, allowing developers to easily integrate these smaller, faster models. A new integration for MiniMax's M2.7 model has also been added. Other packages received updates for major providers like Azure OpenAI, Google's Gemini, and Anthropic's Bedrock Converse, ensuring compatibility with the latest API features and response formats. The release also includes widespread dependency updates across its 49+ modular packages to maintain security and performance.

For developers using LlamaCloud, the managed service component, the update enables installation of versions above 1.0 and removes the deprecated `llamaparse` reader. This release underscores LlamaIndex's role as a crucial integration layer, constantly adapting to the fast-moving AI ecosystem by adding support for new models and hardening its core data orchestration capabilities for enterprise use.