llm-app is an open-source project that provides an AI application framework with integrated support for vector databases, enabling the development of LLM-powered solutions.

A platform focused on transforming AI/ML operations with transparency, control, and cost optimization, including support for vector database tasks.

langchain4j is an open-source framework for developing LLM-powered Java applications, with built-in support for integrating vector databases as memory stores.

mem0 is an open-source vector database focused on efficient storage and retrieval of high-dimensional embeddings for large-scale AI applications.

reor is an open-source vector database solution focused on fast and scalable storage of high-dimensional vectors for AI and ML applications.

Apache Arrow is a cross-language development platform for in-memory data that is commonly used to facilitate efficient integration between vector databases and machine learning frameworks. It provides a standardized format for data exchange that is useful for storing and querying high-dimensional vectors in AI applications.