Ragie

Building retrieval for a generative AI app usually means wiring together ingestion, chunking, indexing and search yourself.

Ragie is a managed RAG service that handles those steps so developers can focus on the application instead of the pipeline.

It is a RAG-as-a-Service product, meaning Retrieval-Augmented Generation runs as a hosted API rather than something you build and maintain.

Ragie ingests both structured and unstructured data, chunks it, and indexes it across multiple modalities.

You work with it through APIs and SDKs, and it connects to data sources such as Google Drive, Notion and Confluence, which is handy if your team's documents already live there.

On the retrieval side, Ragie includes summary indexing, chunk reranking and flexible vector filtering.

These are the tuning steps that teams often end up building by hand when a basic vector search returns mediocre results.

As a developer tool for AI search, chatbots and knowledge base apps, Ragie is meant for people writing code, not at non-technical users looking for a ready-made chat interface.