Hybrid RAG System for Indexing DevOps eBooks and Online Documentation

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Hybrid RAG System for Indexing DevOps eBooks and Online Documentation

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Why this server?
Provides hybrid search (BM25 + vector) over local markdown knowledge bases, ideal for indexing devops ebooks in md format.
QMD - Query Markdown
RAG Systems Search Knowledge & Memory
ehc-io
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license
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quality
C
maintenance
Provides hybrid search over local markdown knowledge bases using BM25 keyword search and vector semantic search. Enables indexing, querying, and retrieving markdown documentation with dual-mode support for local and remote agents.
Last updated 2026-02-25
23,635
8
MIT
Why this server?
Aggregates documentation from multiple sources via web scraping and offers hybrid search, enabling augmentation with latest online kubernetes docs.
MCP Docs Server
RAG Systems Documentation Access Search
dnys1
A
license
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quality
D
maintenance
Aggregates documentation from multiple sources (llms.txt format or web scraping) and provides semantic search capabilities using vector embeddings and hybrid search for each documentation source.
Last updated 2025-12-13
24
MIT
Why this server?
A modular hybrid RAG framework supporting dense/sparse retrieval, reranking, and observability, adaptable for ebook indexing and online augmentation.
Hybrid RAG MCP Server
RAG Systems Vector Databases Observability
jiarongli517021911144
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license
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quality
C
maintenance
A modular Retrieval-Augmented Generation (RAG) framework that provides hybrid search and knowledge retrieval capabilities via the Model Context Protocol. It enables users to integrate document-based knowledge into LLM workflows with support for dense/sparse retrieval, reranking, and observability.
Last updated 2026-03-16
MIT
Why this server?
Local RAG with vector embeddings for markdown files, supports semantic search and can be extended to incorporate online documentation.
local_lense
RAG Systems Vector Databases Search
Jaxsbr
A
license
-
quality
D
maintenance
A local RAG-powered documentation search system that uses vector embeddings and Qdrant to enable semantic search across markdown, HTML, and other file formats. It provides an MCP interface for AI tools like Cursor to intelligently query and retrieve information from local knowledge bases.
Last updated 2026-01-12
MIT
Why this server?
Hybrid search (semantic+BM25) with cross-encoder reranking and markdown-aware chunking, suitable for local ebook retrieval.
knowledge-rag
RAG Systems Vector Databases Knowledge & Memory
lyonzin
A
license
A
quality
B
maintenance
Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.
Last updated 2026-06-09
12
91
MIT
Why this server?
Indexes local files, websites, and GitHub repos with hybrid retrieval, perfect for combining local ebooks with online kubernetes documentation.
OmniDocs RAG
RAG Systems Search
ElvinBayramov
A
license
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quality
B
maintenance
Enables AI agents to index and search local files, websites, GitHub repos, and packages using hybrid retrieval with reranking, all through IDE chat.
Last updated 2026-05-09
2
Apache 2.0
Why this server?
Web search and library docs indexing with hybrid search, no API keys required, can fetch latest online docs to augment local ebooks.
WET - Web Extended Toolkit
Research & Data Search Web Scraping
n24q02m
A
license
A
quality
A
maintenance
Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search. No API keys required.
Last updated 2026-06-12
6
9
Why this server?
Lightweight hybrid search engine for markdown corpora, optimized for documentation retrieval, fits local ebook search.
Speakeasy Docs MCPofficial
Search RAG Systems Documentation Access
speakeasy-api
A
license
-
quality
-
maintenance
A lightweight, domain-agnostic hybrid search engine for markdown corpora, exposed via the Model Context Protocol (MCP), optimized for serving SDK documentation to AI coding agents.
Last updated 2026-03-11
6
AGPL 3.0
Why this server?
Hybrid search over a locally ingested knowledge base grounded in user-curated documentation, suitable for devops topics.
Qurio MCP Server
RAG Systems Search
irahardianto
A
license
-
quality
-
maintenance
Enables AI coding assistants to search and retrieve information from a locally ingested knowledge base using hybrid search, grounded in user-curated documentation.
Last updated 2026-02-15
17
MIT

Speakeasy Docs MCPofficial