Upstash Vector Stores

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Node Details

• Name: Upstash_VectorStores

• Type: Upstash

• Version: 2.0

• Category: Vector Stores

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Base Classes

• Upstash

• VectorStoreRetriever

• BaseRetriever

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Credentials

• Type: upstashVectorApi

• Required Fields:

  • UPSTASH_VECTOR_REST_URL

  • UPSTASH_VECTOR_REST_TOKEN

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Input Parameters

1. Document (optional, list)

   • Type: Document

   • Description: List of documents to be processed

2. Embeddings (required)

   • Type: Embeddings

   • Description: Embedding model to use

3. Record Manager (optional)

   • Type: RecordManager

   • Description: Keeps track of records to prevent duplication

4. File Upload (optional)

   • Type: boolean

   • Description: Allows file upload on the chat

5. Upstash Metadata Filter (optional)

   • Type: string

   • Description: Filter for Upstash metadata

6. Top K (optional)

   • Type: number

   • Description: Number of top results to fetch (default: 4)

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Outputs

1. Upstash Retriever

   • Type: retriever

   • Base Classes: [Upstash, VectorStoreRetriever, BaseRetriever]

2. Upstash Vector Store

   • Type: vectorStore

   • Base Classes: [Upstash, UpstashVectorStore base classes]

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Functionality

The node provides two main functionalities:

1. Upsert:

   • Processes input documents

   • Creates or updates embeddings in the Upstash vector store

   • Handles file uploads and chat IDs if enabled

   • Uses RecordManager for deduplication if provided

2. Delete:

   • Removes specified documents from the vector store

   • Supports deletion using RecordManager or direct ID-based deletion

3. Initialization:

   • Sets up the Upstash vector store with provided credentials

   • Applies metadata filters and chat ID filters if specified

   • Creates a retriever or vector store based on the configuration

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Use Cases

• Storing and retrieving document embeddings for similarity search

• Managing document collections with metadata filtering

• Integrating file upload capabilities in chat applications

• Implementing efficient document retrieval systems

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Notes

• The node supports both standalone usage and integration with a RecordManager for more advanced document tracking.

• File upload feature can be enabled to associate documents with specific chat sessions.

• The node uses the UpstashVectorStore from the LangChain library for vector operations.