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apply Reranker class at chromaDB
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Agents API for creating and interacting with agentic systems.
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Main functionalities provided by this API:
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- Create agents with specific instructions and ability to use tools.
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- Interactions with agents are grouped into sessions ("threads"), and each interaction is called a "turn".
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- Agents can be provided with various tools (see the ToolGroups and ToolRuntime APIs for more details).
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- Agents can be provided with various shields (see the Safety API for more details).
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- Agents can also use Memory to retrieve information from knowledge bases. See the RAG Tool and Vector IO APIs for more details.
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Main functionalities provided by this API:
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- Create agents with specific instructions and ability to use tools.
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- Interactions with agents are grouped into sessions ("threads"), and each interaction is called a "turn".
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- Agents can be provided with various tools (see the ToolGroups and ToolRuntime APIs for more details).
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- Agents can be provided with various shields (see the Safety API for more details).
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- Agents can also use Memory to retrieve information from knowledge bases. See the RAG Tool and Vector IO APIs for more details.
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This section contains documentation for all available providers for the **agents** API.
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Protocol for batch processing API operations.
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The Batches API enables efficient processing of multiple requests in a single operation,
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particularly useful for processing large datasets, batch evaluation workflows, and
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cost-effective inference at scale.
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The Batches API enables efficient processing of multiple requests in a single operation,
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particularly useful for processing large datasets, batch evaluation workflows, and
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cost-effective inference at scale.
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Note: This API is currently under active development and may undergo changes.
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Note: This API is currently under active development and may undergo changes.
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This section contains documentation for all available providers for the **batches** API.
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Llama Stack Inference API for generating completions, chat completions, and embeddings.
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This API provides the raw interface to the underlying models. Two kinds of models are supported:
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- LLM models: these models generate "raw" and "chat" (conversational) completions.
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- Embedding models: these models generate embeddings to be used for semantic search.
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This API provides the raw interface to the underlying models. Two kinds of models are supported:
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- LLM models: these models generate "raw" and "chat" (conversational) completions.
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- Embedding models: these models generate embeddings to be used for semantic search.
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This section contains documentation for all available providers for the **inference** API.
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