Decision-making layer for LLMs and agents
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Semantic Router provides a high-speed decision-making layer for LLMs and AI agents, enabling efficient routing of requests based on semantic meaning rather than slow LLM generations. It's designed for developers building AI applications who need to quickly direct user queries or data to appropriate tools or responses, particularly in scenarios requiring low latency.
How It Works
The core of Semantic Router is its RouteLayer
, which leverages semantic vector spaces to make routing decisions. Users define Route
objects, each associated with a list of example utterances. These utterances are embedded into a vector space. When a new query arrives, it's also embedded, and the system finds the closest matching Route
based on vector similarity. This approach offers significant speed advantages over traditional LLM-based decision-making for tool use or intent recognition.
Quick Start & Requirements
pip install -qU semantic-router
pip install -qU "semantic-router[local]"
pip install -qU "semantic-router[hybrid]"
Highlighted Details
Maintenance & Community
The project is associated with Aurelio Labs and has contributions from researchers like Dimitrios Manias and Ali Chouman. Mentions in Geeky Gadgets and AI Insights suggest community interest.
Licensing & Compatibility
The README does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.
Limitations & Caveats
The project appears to be under active development, with mentions of "more encoders will be added soon" and "dynamic routes" suggesting ongoing feature expansion. The lack of a specified license could be a concern for commercial adoption.
2 days ago
Inactive