Linq API for RAG

Linq is an enterprise search engine that enables the rapid development of LLM applications through hyper-accurate vector search. It simplifies knowledge management with a user-friendly interface and offers a single API for seamless integration into existing systems.

What is Linq API for RAG?

Linq is an enterprise search engine designed to help users build workplace LLM (Large Language Model) applications using hyper-accurate vector search. It provides a single API for quick integration and a user-friendly admin page for managing knowledge bases. The RAG API orchestrates Retrieval-Augmented Generation for LLM apps, handling tasks like extraction, embedding, indexing, retrieval, and reranking. Linq is more than a vector database—it's a comprehensive vector search solution tailored for enterprise use.

Use Cases

• Building AI search engines for enterprises
• Enhancing document understanding with a single API
• Orchestrating RAG for LLM applications

Core Benefits

• Hyper-accurate search results powered by advanced AI
• User-friendly interface for easy knowledge management
• Quick implementation, condensing months of development into days
• Supports diverse data formats
• Provides cited sources for search results

Key Features

• Hyper-accurate vector search
• Single API integration
• User-friendly knowledge management
• RAG API orchestration
• Hybrid Search
• Multimodal AI

How to Use

1. 1
   Upload documents or connect to existing apps to create a searchable knowledge base.
2. 2
   Search for answers to queries with cited sources.
3. 3
   Generate answers from the search results and freely edit the details.

Frequently Asked Questions

Pros & Cons (Reserved)

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