AI
The Camel AI components are a group of components for applying Apache Camel to various AI-related technologies.
AI components
See the following for usage of each component:
- ChatScript
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Chat with a ChatScript Server.
- Deep Java Library
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Infer Deep Learning models from message exchanges data using Deep Java Library (DJL).
- KServe
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Provide access to AI model servers with the KServe standard to run inference with remote models
- LangChain4j Chat
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LangChain4j Chat component
- LangChain4j Embeddings
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LangChain4j Embeddings
- LangChain4j Tools
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LangChain4j Tools and Function Calling Features
- LangChain4j Web Search
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LangChain4j Web Search Engine
- Milvus
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Perform operations on the Milvus Vector Database.
- Neo4j
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Perform operations on the Neo4j Graph Database
- Pinecone
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Perform operations on the Pinecone Vector Database.
- Qdrant
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Perform operations on the Qdrant Vector Database.
- TensorFlow Serving
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Provide access to TensorFlow Serving model servers to run inference with TensorFlow saved models remotely
- TorchServe
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Provide access to PyTorch TorchServe servers to run inference with PyTorch models remotely