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Agents-Flex is a powerful, open-source Java framework designed to simplify the development of AI applications by providing a structured and modular approach. It enables the creation of various AI applications, such as chatbots, image generation, embedding models, function calling, and Retrieval Augmented Generation (RAG) applications. The framework supports both synchronous and streaming APIs and offers features like LLM Connectors, prompt engineering capabilities, and memory management. It is compatible with JDK 8+, integrates with any framework, and includes advanced agent and chain orchestration capabilities, allowing developers to focus on unique project aspects while handling common tasks with ease.
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LLM Connectors supporting HTTP, SSE, and WebSockets.
Prompt engineering templates including FEW-SHOT, CRISPE, BROKE, and ICIO.
Flexible function calling with local and external service integration.
Comprehensive document processing tools for web, local, and database documents.
Advanced memory management systems for chat and execution contexts.
Embedding capabilities and support for multiple vector databases.
Agent and chain management for complex application scenarios.
Simple chat and history support for context-aware interactions.
Custom function definition and invocation through annotations.
Open-source availability with community contribution options.
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Building conversational AI like chatbots for customer service or entertainment.
Implementing applications that leverage external knowledge sources (RAG).
Creating document summarization and question answering solutions.
Developing custom AI assistants.
Creating multi-agent systems for complex coordination.
Orchestrating complex agent interactions with ease.
Integrating custom embedding algorithms for research applications.
Prototyping AI-driven products quickly and efficiently.
Designing flexible AI systems that can integrate with existing infrastructure.
Contributing to and expanding an AI framework through community-driven development.
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