Semantic Router

At a glance

• Editor score
  5.1 / 10
• Pricing
  Free plan
• Best for
  Python teams routing queries across models and handlers
• Free plan
  Yes
• Paid from
  None
• Facts checked
  28 Sep 2026

• Where it wins

  • Routes requests by semantic similarity to handlers or function calls
  • Supports image-based routing and local execution
  • Connects to multiple model providers and vector indexes

• Where it doesn't

  • Focused on routing rather than a complete application framework
  • Requires developers to define routes and integrate handlers
  • Support is through documentation and community

Our verdict on Semantic Router

Semantic Router is an open-source Python library from Aurelio AI for directing text, image, and agent requests to handlers based on semantic similarity rather than keyword matching. It is intended for Python teams building LLM applications that need to route requests across models, functions, or other handlers. Developers define routes with example utterances and choose embedding providers; the library can run locally or with hosted model APIs. It is a routing component, not a hosted SaaS product or a complete application framework.

Its routing toolkit covers more than text classification. Routes can generate parameters and trigger function calls, and image content can inform multimodal routing. Teams can tune and persist thresholds at the route layer. The library supports encoder options including OpenAI, Cohere, Hugging Face, and FastEmbed, as well as vector indexes such as Pinecone, Qdrant, and PostgreSQL pgvector. Its integrations also include Azure OpenAI, AWS Bedrock, Google Vertex, Mistral, Jina AI, VoyageAI, Llama.cpp, and Sentence Transformers. Local execution with local embedding and language models gives teams an option to keep the routing workflow on their own infrastructure.

Semantic Router is distributed under the MIT license and presented as fully open source, so its use does not depend on selecting a paid plan. Deployment options include cloud and self-hosted environments, while support channels are documentation and community. That makes it a fit for teams that want a focused, extensible routing layer and are prepared to define routes and connect handlers themselves. Teams looking for a broader framework that provides a complete application-building workflow or hosted service should consider a different kind of product.

Semantic Router pricing

Semantic Router fact sheet

Semantic Router integrations

Semantic Router lists 15 integrations on its own site.

• OpenAI
• Cohere
• Hugging Face
• FastEmbed
• Azure OpenAI
• AWS Bedrock
• Google Vertex
• Mistral
• Jina AI
• VoyageAI
• Llama.cpp
• Sentence Transformers
• Pinecone
• Qdrant
• PostgreSQL pgvector

Alternatives to Semantic Router

• LangChainA self-hosted framework for LLM apps, retrieval workflows, and agents.9.4
• LLangGraphGraph-based control for developers who need durable, stateful agent workflows.9.2
• MAMicrosoft Agent FrameworkAn open-source framework for multi-agent orchestration, with checkpoints and approval gates.9.1

See all Semantic Router alternatives →

Featured on iTechGuides

Semantic Router is listed in our LLM Application Development Frameworks directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 9 Oct 2026 · How we research and update