Introduction to LlamaIndex Integration with Gemini
In this guide, we will walk you through the process of integrating LlamaIndex with Gemini step by step. By following this guide, you will be able to build an efficient retrieval-augmented generation (RAG) system using these two powerful tools.
Setup Process
In this section, we will guide you through the setup process to ensure a smooth integration of LlamaIndex with Gemini. Before we dive into the integration process, make sure you have Python installed on your system and access to Google AI Studio. You will need the API key generated from Google AI Studio to proceed further.
Data Ingestion
Let's start by installing the necessary dependencies for our project. Use the following commands:
Querying Process
To utilize Gemini effectively, you must obtain the API key from Google AI Studio. Once you have the key, execute the provided code to continue with the integration.
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