mcp-raganything
★ 13
vs
semble
★ 4.5k
mcp-raganything vs semble
mcp-raganything: MCP-RAGAnything is a multi-modal RAG service that exposes a REST API and an MCP server. It indexes documents stored in MinIO into a PostgreSQL-backed knowledge graph using LightRAG. Each project is isolated via its own working_dir.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.
01
TL;DR
Choose mcp-raganything if…Integrate with Claude Desktop to query indexed documents
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
02
Side-by-Side Comparison
03
Features
mcp-raganything01RESTful API for document indexing and querying
02MCP server integration for Claude Desktop
03Supports multiple query modes: naive, local, global, hybrid, mix, bypass
04Background indexing of files and folders from MinIO storage
05Project isolation through working directories
semble01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
04
Use Cases
mcp-raganything↳Integrate with Claude Desktop to query indexed documents
↳Build a RAG-based document Q&A system
↳Index and query large document collections from MinIO
semble↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05
Best For
mcp-raganythingTrendingRAG / Knowledge BaseVision / Multimodal
sembleCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between mcp-raganything and semble?
Both mcp-raganything and semble are in the Vision / Multimodal category. mcp-raganything has 13 stars, while semble has 4.5k stars.
Which is better, mcp-raganything or semble?
The best choice depends on your use case. Choose mcp-raganything if Integrate with Claude Desktop to query indexed documents, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is mcp-raganything free or open source?
Yes, mcp-raganything is open source on GitHub.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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