Retrieval Augmented Generation

Example Use Cases

• 1

  Perform similarity search over vector embeddings efficiently.

• 2

  Orchestrate language model workflows with external data retrieval.

• 3

  A modular microservice architecture for augmented generation applications.

Description

This project provides a system that combines language model workflows with vector similarity search using components like LangChain, Qdrant, and Yandex GPT. It facilitates rapid development and deployment of applications that require augmented generation capabilities. The architecture supports modular services and aims to migrate towards FastAPI and OpenAI integration for improved performance and flexibility.