rag-pipeline
Related Servers
Alternatives to rag-pipeline
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables Claude Code to index and semantically search through PDFs, code, and documents with exact citations and zero hallucinations.MIT
- AlicenseAqualityBmaintenanceEnables searching for scientific papers across OpenAlex, CrossRef, and Unpaywall, and downloading open-access PDFs directly through Claude Desktop.51MIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to perform hybrid search across local documents by combining semantic vector retrieval and BM25 keyword matching for optimal context recovery. It supports multiple file formats including PDF, CSV, and Markdown, leveraging local Ollama models for private and efficient document querying.4MIT
- FlicenseNot gradedqualityDmaintenanceEnables semantic search and conversational querying across a personal research library of PDFs, DOCX, and other documents using a vector database. It provides tools for document summarization, finding related papers, and high-accuracy retrieval for AI clients like Claude Desktop.-
- AlicenseBqualityCmaintenanceA second brain for researchers — gives Claude persistent memory of your papers, field, and working history, with answers cited from your own indexed library1003AGPL 3.0
- AlicenseBqualityCmaintenanceEnables Claude Code to interact with Jupyter notebooks, perform semantic search over knowledge files, and manage research projects.334MIT
TDQS
Scored across 2 tools
The two tools have completely distinct roles: one adds documents to the index, the other queries it. There is no overlap or ambiguity between ingestion and search.
Both tools follow a verb_noun pattern and are recognizable at a glance. The only minor inconsistency is that one uses the plural 'papers' while the other uses singular 'paper'.
Two tools is a thin surface, falling below the typical 3-15 well-scoped range. Each tool is essential for the core RAG workflow, but the set still feels minimal for anything beyond basic ingest-and-query usage.
The core ingest and search operations are present, giving agents the main RAG loop. However, there is no way to list, delete, or update ingested papers, which leaves obvious workflow gaps around managing the collection.