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semble vs QCX
semble logo
semble
★ 4.5k
vs
QCX logo
QCX
★ 19

semble vs QCX

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.; QCX: QCX is an AI-powered chat platform that integrates generative UI with interactive maps, enabling real-time text streaming, search, and serverless database storage. It uses Next.js and Vercel AI SDK for streaming responses and supports multiple AI models.

01

TL;DR

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

QCX logoChoose QCX if…

Building AI assistants with map-based context

02

Side-by-Side Comparison

Field
semble logosemble
QCX logoQCX
Category
RAG / Knowledge Base
Dev Tooling
Stars
★ 4.5k
★ 19
License
MIT
Apache-2.0
Updated
2d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
artificial-general-intelligence, exploration, hacktoberfest
03

Features

semble logosemble
01Fast 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
QCX logoQCX
01Generative UI with real-time text streaming
02Interactive map integration with chat
03Search API integration (Tavily/Exa)
04Serverless database using Upstash Redis
05Modular component library with shadcn/ui
04

Use Cases

semble logosemble
↳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
QCX logoQCX
↳Building AI assistants with map-based context
↳Real-time collaborative mapping applications
↳Generative AI applications with streaming responses
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
QCX logoQCX
TrendingAPI Integration
FAQ

FAQ

What is the difference between semble and QCX?
Both semble and QCX are in the RAG / Knowledge Base category. semble has 4.5k stars, while QCX has 19 stars.
Which is better, semble or QCX?
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 QCX if Building AI assistants with map-based context.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is QCX free or open source?
Yes, QCX is open source on GitHub (Apache-2.0).
→

Related

Alternatives to semble →Alternatives to QCX →semble details →QCX details →
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