Super RAG
SuperRag is a super performant RAG pipeline for AI apps, providing features like summarization, retrieval, reranking, and code interpreters in one simple API.
Listed in categories:
Artificial IntelligenceAPIGitHub
Description
SuperRag is a super performant RAG pipeline for AI apps. It supports summarization, retrieval, reranking, and code interpreters in one simple API.
How to use Super RAG?
To get started, clone the repository, set up a virtual environment, install required packages, and run the server. SuperRag also supports running computational QA using code interpreters powered by E2Bdev custom runtimes.
Core features of Super RAG:
1️⃣
Supports multiple document formats and vector databases
2️⃣
Provides a production-ready REST API
3️⃣
Customizable splitting/chunking
4️⃣
Includes options for encoding data using different encoding models
5️⃣
Built-in code interpreter mode for computational question-answer scenarios
Why could be used Super RAG?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Document Ingestion | ✅ | |
| # 2 | Document Query | ✅ | |
| # 3 | Document Deletion | ✅ | |
Who developed Super RAG?
SuperAgent AI is the maker of SuperRag, a company specializing in AI solutions.