Artifacts using LangChain4j Embeddings All Minilm L6 V2 (39)

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Quarkus LangChain4j Core Runtime

Core embedding functionality for DriftKit

Java implementation of the A2A protocol, which allows for the exchange of data between different AI systems. This project is designed to facilitate the integration of various AI models and tools, enabling seamless communication and collaboration. The A2A protocol is a standardized way for AI systems to share information, making it easier to build complex applications that leverage multiple AI technologies. This implementation is built using Java and Spring Boot, providing a robust ...

Implementation of a client to the Astra/Stargate Data API written in Java

WildFly: AI Subsystem

WildFly: AI Subsystem

The MuleSoft AI Chain Connector is designed to help developers easily build and manage AI-driven agents within the MuleSoft Anypoint Platform. It provides the tools and support needed to integrate Large Language Models (LLMs), embeddings, and other advanced AI services into MuleSoft applications.

The MuleSoft AI Chain Connector is designed to help developers easily build and manage AI-driven agents within the MuleSoft Anypoint Platform. It provides the tools and support needed to integrate Large Language Models (LLMs), embeddings, and other advanced AI services into MuleSoft applications.

About RAG(Retrieval-Augmented Generation) for Evolving Data

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