LiquidIndex 2.0
The Stripe Checkout of RAG. Fast, scalable, effortless.
Listed in categories:
Artificial IntelligenceDeveloper ToolsAPI
Description
LiquidIndex is a powerful multitenant RAG (Retrieval-Augmented Generation) engine that allows developers to integrate AI document search capabilities into their applications with minimal code. With just three API calls, users can create a customer, start a session, and query their documents, all while ensuring complete data isolation and security.
How to use LiquidIndex 2.0?
To use LiquidIndex, developers need to create a new user in the multitenant RAG system, redirect users to the secure upload interface for document submission, and then utilize the API to query the documents using natural language.
Core features of LiquidIndex 2.0:
1️⃣
Create a customer with isolated data space for each user
2️⃣
Handle document uploads through a secure hosted interface
3️⃣
Automatically process and prepare documents for retrieval
4️⃣
Store each user's data in their own isolated vector space
5️⃣
Query user documents using natural language with intelligent routing
Why could be used LiquidIndex 2.0?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | SaaS applications requiring private RAG engines for each user | ✅ | |
| # 2 | AI-powered document search for user-specific data | ✅ | |
| # 3 | Streamlined document management and retrieval for businesses | ✅ | |
Who developed LiquidIndex 2.0?
LiquidIndex is designed to simplify the integration of AI document search into applications, allowing developers to focus on building features without the hassle of managing complex infrastructure. The platform is built for speed, flexibility, and seamless integration, making it an ideal choice for modern applications.