RAG-DuckDB vs RAG

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

Provides cloud-based document management and semantic search using OpenAI embeddings with in-memory vector storage, enabling retrieval-augmented generation workflows through document ingestion, metadata filtering, and cosine similarity search.

MCP Servers

MCP Servers

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60

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