semble
★ 4.5k
vs
mcp-raganything
★ 13
semble vs mcp-raganything
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.; mcp-raganything: A multi-modal RAG service that exposes a REST API and MCP server for document indexing and knowledge-base querying. It uses RAGAnything/LightRAG for indexing and retrieval, MinIO for object storage, and PostgreSQL for the knowledge graph. Each project is isolated by its own working directory.
01
TL;DR
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Choose mcp-raganything if…Index and query documents for knowledge base Q&A
02
Side-by-Side Comparison
03
Features
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
mcp-raganything01REST API and MCP Server
02Multi-modal RAG with BM25, vector, and hybrid search
03Supports 91 document formats via Kreuzberg
04PostgreSQL-backed knowledge graph with pgvector and BM25
05File browsing and reading from MinIO without indexing
04
Use Cases
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
mcp-raganything↳Index and query documents for knowledge base Q&A
↳Browse and read files from object storage
↳Multi-modal search including text and images
05
Best For
sembleCode AssistantRAG / Knowledge Base
mcp-raganythingTrendingRAG / Knowledge BaseVision / Multimodal
FAQ
FAQ
What is the difference between semble and mcp-raganything?
Both semble and mcp-raganything are in the RAG / Knowledge Base category. semble has 4.5k stars, while mcp-raganything has 13 stars.
Which is better, semble or mcp-raganything?
The best choice depends on your use case. Choose semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities, and mcp-raganything if Index and query documents for knowledge base Q&A.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is mcp-raganything free or open source?
Yes, mcp-raganything is open source on GitHub.
→