R2R

R2R (Retrieve to Reason) is an advanced AI retrieval system offering production-grade Retrieval-Augmented Generation (RAG) functionalities. It incorporates multimodal content ingestion, hybrid search, knowledge graphs, and robust document management via a RESTful API.

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Multimedia Data CollectionSupports parsing of various file formats such as .txt, .pdf, .json, .png, .mp3, allowing for the integration of diverse content into the knowledge base.
Hybrid Search System ArchitectureIntegrates semantic and keyword searches with reciprocal rank fusion to deliver more precise and contextually appropriate search outcomes.
Agent-Based Retrieval-Augmented Generation SystemCombines reasoning agents with retrieval abilities to enable more advanced query handling and context-sensitive replies.
Generating Knowledge GraphsAutomatically identifies and connects entities and their relationships within content to build comprehensive knowledge graphs that enhance information comprehension.