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Node Details
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Name: zepCloud
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Type: Zep
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Version: 2.0
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Category: Vector Stores
Base Classes
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Zep
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VectorStoreRetriever
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BaseRetriever
Credentials
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Type: JWT authentication
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Name: zepMemoryApi
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Description: Configure JWT authentication for your Zep instance (Optional)
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Document (optional)
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Type: Document
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List: true
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Description: Input documents to be stored in the Zep collection
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Zep Collection
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Type: string
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Placeholder: my-first-collection
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Description: Name of the Zep collection to use
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Zep Metadata Filter (optional)
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Type: json
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Description: JSON filter to apply on metadata when retrieving documents
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Top K (optional)
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Type: number
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Default: 4
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Description: Number of top results to fetch
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MMR Parameters (optional)
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Fetch K
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MMR Lambda
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Description: Parameters for Maximal Marginal Relevance search
Outputs
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Zep Retriever
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Type: Retriever
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Base Classes: [Zep, VectorStoreRetriever, BaseRetriever]
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Zep Vector Store
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Type: Vector Store
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Base Classes: [Zep, ZepVectorStore]
Functionality
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Upsert:
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Adds or updates documents in the Zep collection
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Returns the number of added documents and the added documents themselves
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Init:
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Initializes the Zep vector store with the given configuration
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Sets up metadata filters if provided
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Returns either a vector store or a retriever based on the node data
Usage
This node is particularly useful for:
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Storing and retrieving embedded data in a scalable manner
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Performing similarity searches on stored data
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Implementing MMR search for diverse result retrieval
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Integrating Zep’s vector store capabilities into larger language model applications
Note
The node uses FakeEmbeddings for document storage, which means it expects pre-embedded documents. For production use, you should replace this with actual embedding functionality.