Integration of Atomstate (a vector store) with LangChain for Enhanced Data Retrieval and Management

[krishnaatom]

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Feature request

Feature Description

Introduction

We are Atomstate, a vector database product startup. Integrations with Llama Index and LangChain constitute vital milestones to make Atomstate appeal to broader audience. Built entirely in Rust, Atomstate operates as a single binary with horizontal scalability, ensuring optimal performance and reliability. It has performed well in stressful environments of Aviation and Automobile industry.

As part of our ongoing efforts to improve our offerings, we are excited to propose a new feature that integrates our vector database, Atomstate, with LangChain. This integration aims to enhance the capabilities of both platforms, providing users with more powerful and efficient data handling.

Objective

The primary goal of this feature is to create a robust integration between our vector database and LangChain. This will enable users to perform advanced queries and retrievals on vectorized data, leveraging the strengths of both systems.

Conclusion

We believe that this integration will significantly enhance the capabilities of both LangChain and Atomstate. We are eager to bring this plugin to life.

However, we don't know where to start (in terms of process to be followed). Please advice us so that, we can launch the support asap.

Motivation

This feature has been requested by our enterprise customers. Hence, it is pivotal for us to get this integration up and running to amplify ease of use. Integration with LangChain also opens our vector store to broader audience.

Proposal (If applicable)

No response