Langchain is an open framework designed to streamline the creation of applications using Large Language Models (LLMs). It enables developers to build dynamic, robust workflows and seamlessly integrate LLMs into their projects.

The Kyvos Langchain toolkit provides a platform with a high-speed semantic layer, ensuring immediate responses to business questions.

Kyvos’ Langchain components:

• Spark SQL Toolkit: It enables you to query the Kyvos Semantic model using SQL Interface and allows applications to build conversational analytics for queries.

• Document Loader (CSV/JSON): It enables you to pull in data and metadata from Kyvos and create its documents.

Spark SQL Toolkit

It enables building a conversational AI agent using LLM and Kyvos.

• It is a collection of tools that enables:

  • Semantic model discovery

  • SQL Query Execution

  • SQL Query Validation

• It fetches data and metadata from Kyvos using SQL via JDBC interface.

• It enables building AI chatbots powered by high-speed Kyvos Semantic Model.

Kyvos Document Loader

The Kyvos Document Loader program <name of the program and expanse link will be established) is designed to be independent of the platform, meaning it can be executed in any environment or directly through a code editor. Once the program is executed, you can interact with a User Interface (UI) labeled Converse with your data.

Open

Within Langchain, the Kyvos document loader allows users to interact with Kyvos semantic models, which are programmatically accessed through the Langchain application.

On the Converse with your data interface, you can input queries in plain English, which are processed by the system to interact with the semantic model and retrieve relevant data.

Open

This integration ensures you can leverage the power of LLMs in a simple, intuitive way while querying huge data models and making the workflow more efficient and user-friendly.