Dynamic RAG Knowledge Updater
What it is
A production-grade Retrieval-Augmented Generation (RAG) system that implements semantic corpus versioning and hybrid retrieval. It includes mechanisms for hallucination detection and dynamic knowledge updating.
The problem it solves
Standard RAG systems often suffer from stale knowledge, lack of version control for documents, and high rates of hallucination due to unverified retrieval results.
What you could use it for
- Building enterprise search engines that require version control over document corpora
- Implementing RAG pipelines with automatic hallucination mitigation
- Managing dynamic knowledge bases where documents are frequently updated or replaced
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