An innovative and precise RAG engine

RAG with 99% Precision

LibRAG is a next-generation intelligent content retrieval engine designed for Reasoning-Augmented Retrieval (RAG).

It operates without relying on vector databases or building any word embedding models. Instead, it empowers large language models to leverage their deep semantic understanding and reasoning capabilities to directly locate truly relevant content from documents based on the query.

Through a unique multi-level semantic indexing structure, LibRAG can accurately comprehend user intent, connect information across documents, and handle complex logical chains—transforming retrieval from “finding similarities” to “finding answers.”

Whether dealing with policy documents, technical manuals, professional reports, or intricate business knowledge, LibRAG delivers highly accurate, interpretable, and auditable answers within seconds.

The Design Philosophy of LibRAG

Finding the right segments in a vast amount of documents is a universal challenge.

Traditional RAG mechanically chunks text into vectors for semantic matching—a computational shortcut that grinds knowledge into sand. It’s fast but loses context and coherence.

Inspired by archival and indexing science, LibRAG acts like an expert librarian: it understands structure, relationships, and context to deliver precise answers—not just keyword matches.

Features and Design
of LibRAG

Precision > 99%

Based on deep semantic reasoning, it achieves precise paragraph retrieval comparable to human judgment.

Recall Rate > 95%

Intelligently covers nearly all relevant passages, ensuring comprehensive recall without omission.

Quick response

Controllable response time, delivering optimal solutions in real-time.

Understands user intent

Leverages the semantic reasoning capabilities of language models to accurately uncover the essence of user queries.

No word embedding needed

Deployment is lightweight and results are stable, without relying on any embedding models.

No vector needed

Eliminates vector retrieval errors by directly pinpointing the most relevant content through logical reasoning.

Suitable Applications

Finance

Compliance Interpretation
Credit Review
Risk Control Clauses

Manufacturing

Process Retrieval
Quality Inspection Localization
Fault Diagnosis and Troubleshooting

Healthcare

Guideline Interpretation
Policy & Protocol Retrieval
Quality Control Support

Government

Policy & Regulation Retrieval
Policy Comparison & Analysis
Procedure Guidance

Free Trial

Contact us to get your free trial quota through our cloud service environment.