@kumologica/kumologica-contrib-vectorstore

Kumologica contribution node: kumologica-contrib-VectorStore

Overview

This Kumologica node client provides stateful interaction with a memory vector store, retaining data throughout the container lifecycle.

Features

• Text Chunking: Supports various text splitters to chunk input documents efficiently.
• Embedding Support: Compatible with OpenAI, VoyageAI, and Fake Embeddings for vector generation.
• Similarity Search: Enables similarity search with scoring and Maximal Marginal Relevance (MMR).
• Get/Set Operations: Includes operations to persist and load vectors from your chosen storage.

This node is ideal for applications requiring vector storage, similarity searches, and integration with popular embedding providers.

Installation

From command line

Go to the project directory and run from the console:

npm install @kumologica/kumologica-contrib-vectorstore 

Dependencies

Kumologica Designer and OpenAI or Voyage API KEY is required. Follow below instructions:

Kumologica Designer

You need Kumologica Designer to use Memory Vector Store Node.

To install Kumologica SDK run following command:

npm install -g @kumologica/sdk

After successful installation run following command to open Kumologica Designer:

kl open

OpenAI API KEY

Follow https://platform.openai.com/docs/quickstart to sign up and generate the key.

VoyageAI API Key

See FAQ https://docs.voyageai.com/docs/faq how to get api key.

More information

For more information about Kumologica SDK Installation see: Kumologica SDK Installation

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