Apache Tika
PulseAugur coverage of Apache Tika — every cluster mentioning Apache Tika across labs, papers, and developer communities, ranked by signal.
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DeepDoc offers air-gapped document parsing for RAG pipelines
A new tool called DeepDoc has been developed to address the challenge of parsing various document formats for retrieval-augmented generation (RAG) pipelines, particularly in air-gapped environments. Unlike existing solu…
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tika-mcp integrates Apache Tika for MCP document parsing
This item describes tika-mcp, a Model Context Protocol (MCP) server that integrates Apache Tika Server. It exposes five of Apache Tika's parsing operations as tools, enabling enhanced document processing capabilities fo…
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Scaling RAG to 10 Million Documents Requires Advanced Ingestion and Retrieval Techniques
Scaling Retrieval-Augmented Generation (RAG) systems from a few thousand documents to millions presents significant challenges that often break simpler implementations. Production-scale RAG requires robust ingestion pip…
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RAG benchmark flaws revealed: Chunking strategy, not LLM, drives results
A developer building a Retrieval-Augmented Generation (RAG) system encountered issues with their benchmark, finding that changes in chunking strategy and question difficulty simultaneously altered model rankings. The de…