RAG Engine
Connect external data to AI apps in minutes
Listed in categories:
Artificial IntelligenceAPIDatabase
Description
Connect external data to AI apps in minutes with the fastest way to connect a retrieval engine for LLMs to access external data.
How to use RAG Engine?
Simply provide the URL of the data source, and the system will handle ingestion, processing, and storage automatically with just a couple of API calls.
Core features of RAG Engine:
1️⃣
Connect any data source with one API call
2️⃣
Built-in ingestion, processing, and storage
3️⃣
Unified search across all connected data
4️⃣
Zero setup and maintenance required
5️⃣
Fair pricing with no markups
Why could be used RAG Engine?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Integrate data from various sources like websites and documents into AI applications | ✅ | |
| # 2 | Retrieve relevant data snippets for immediate use in LLMs | ✅ | |
| # 3 | Sync and manage data effortlessly without infrastructure headaches | ✅ | |
Who developed RAG Engine?
The maker is a team dedicated to simplifying the integration of external data into AI applications, providing a hassle-free experience with a focus on fair pricing and robust support.