Aleph vs RAG-DuckDB

Enables models to process unlimited document sizes by providing recursive self-querying capabilities through sandboxed Python execution with tools for search, chunking, and iterative exploration that overcome traditional context window limitations.

Provides document processing and retrieval-augmented generation capabilities using DuckDB as the vector database backend, featuring intelligent chunking strategies that adapt to file types, hybrid search combining semantic similarity with BM25 keyword search, and support for over 20 file formats inc

Models

MCP Servers

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63

5