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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.
Valkey is an open-source in-memory key-value data store that supports vector search operations, making it useful for AI and machine learning vector database workloads. It is also a specialized open-source vector database designed for efficient management and retrieval of high-dimensional vector data, offering advanced APIs and optimized storage for AI workloads.
AnythingLLM is an open-source AI application that integrates with vector databases to facilitate storage and retrieval of embeddings, supporting various AI and LLM workflows.
An open-source library for creating, storing, and searching multimodal data and vector embeddings, supporting AI and ML workflows.
A platform focused on transforming AI/ML operations with transparency, control, and cost optimization, including support for vector database tasks.
Havenask is an open-source distributed search engine with support for vector search, designed for large-scale AI and search applications.
Apache Arrow is an open-source cross-language development platform for in-memory data. It is designed to facilitate efficient data interchange and analytics, particularly for high-performance and AI applications.
open-source, in-memory, data-integration, ai
Apache Arrow is open-source software and is freely available under the Apache License 2.0.