/SemanticWorld

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SemanticWorld: LLM-Based RAG System with Elasticsearch & OpenSearch

Introduction

This project demonstrates the integration of a Large Language Model (LLM) with Elasticsearch and OpenSearch to create a Retrieval-Augmented Generation (RAG) system. This innovative approach combines the power of advanced natural language understanding with efficient data retrieval capabilities.

Features

  • LLM Integration: Leverages a state-of-the-art Language Model for natural language understanding and generation.
  • Elasticsearch & OpenSearch: Utilizes Elasticsearch and OpenSearch as vector databases for efficient data indexing and retrieval.
  • Scalable Architecture: Designed to be scalable and efficient, suitable for handling large datasets.