[Refactor] Change evaluation script path (#1165)
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@@ -1,34 +1,34 @@
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---
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title: "Pipeline"
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title: "App"
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---
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Create a RAG pipeline object on Embedchain. This is the main entrypoint for a developer to interact with Embedchain APIs. A pipeline configures the llm, vector database, embedding model, and retrieval strategy of your choice.
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Create a RAG app object on Embedchain. This is the main entrypoint for a developer to interact with Embedchain APIs. An app configures the llm, vector database, embedding model, and retrieval strategy of your choice.
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### Attributes
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<ParamField path="local_id" type="str">
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Pipeline ID
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App ID
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</ParamField>
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<ParamField path="name" type="str" optional>
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Name of the pipeline
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Name of the app
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</ParamField>
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<ParamField path="config" type="BaseConfig">
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Configuration of the pipeline
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Configuration of the app
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</ParamField>
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<ParamField path="llm" type="BaseLlm">
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Configured LLM for the RAG pipeline
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Configured LLM for the RAG app
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</ParamField>
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<ParamField path="db" type="BaseVectorDB">
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Configured vector database for the RAG pipeline
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Configured vector database for the RAG app
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</ParamField>
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<ParamField path="embedding_model" type="BaseEmbedder">
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Configured embedding model for the RAG pipeline
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Configured embedding model for the RAG app
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</ParamField>
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<ParamField path="chunker" type="ChunkerConfig">
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Chunker configuration
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</ParamField>
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<ParamField path="client" type="Client" optional>
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Client object (used to deploy a pipeline to Embedchain platform)
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Client object (used to deploy an app to Embedchain platform)
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</ParamField>
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<ParamField path="logger" type="logging.Logger">
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Logger object
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@@ -36,7 +36,7 @@ Create a RAG pipeline object on Embedchain. This is the main entrypoint for a de
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## Usage
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You can create an embedchain pipeline instance using the following methods:
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You can create an app instance using the following methods:
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### Default setting
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@@ -127,4 +127,4 @@ app = App.from_config(config_path="config.json")
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}
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```
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</CodeGroup>
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</CodeGroup>
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