LlamaIndex Readers Integration: iGPT Email Intelligence

pip install llama-index-readers-igpt-email

The iGPT Email Intelligence Reader loads structured, reasoning-ready email context from the iGPT API as LlamaIndex Documents for indexing and retrieval.

Unlike raw email connectors that return unprocessed message data, iGPT handles thread reconstruction, participant role detection, and intent extraction before returning results — so each Document contains clean, structured content ready for a RAG pipeline.

To begin, you need to obtain an API key at docs.igpt.ai.

Usage

Here's an example usage of the IGPTEmailReader.

from llama_index.readers.igpt_email import IGPTEmailReader
from llama_index.core import VectorStoreIndex

reader = IGPTEmailReader(api_key="your-key", user="user-id")
documents = reader.load_data(query="project Alpha", date_from="2025-01-01")
index = VectorStoreIndex.from_documents(documents)

This loader is designed to be used as a way to load data into LlamaIndex.