This is the Windows app named RAPTOR whose latest release can be downloaded as raptorsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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RAPTOR
DESCRIPTION
RAPTOR is a retrieval architecture designed to improve retrieval-augmented generation systems by organizing documents into hierarchical structures that enable more effective context retrieval. Traditional RAG systems typically retrieve small text chunks independently, which can limit a model’s ability to understand broader document context. RAPTOR addresses this limitation by recursively embedding, clustering, and summarizing documents to create a tree-structured hierarchy of information. Each level of the tree represents summaries at different levels of abstraction, allowing retrieval to operate at both detailed and high-level conceptual layers. During inference, the system can navigate this hierarchical representation to retrieve information that best matches the user’s query while preserving broader contextual understanding. This approach improves question-answering performance on complex tasks that require reasoning across long documents or multiple sources.
Features
- Hierarchical document representation using recursive summarization
- Tree-structured retrieval enabling multi-level information access
- Integration with retrieval-augmented language model pipelines
- Embedding clustering and abstraction of document segments
- Improved long-document reasoning and contextual retrieval
- Research implementation for advanced RAG architectures
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/raptor.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
