Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow LLM generations to make tool-use decisions, we use the magic of semantic vector space to make those decisions — _routing_ our requests using _semantic_ meaning.
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## Quickstart
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@@ -25,7 +26,7 @@ To get started with _semantic-router_ we install it like so:
pip install -qU semantic-router
```
❗️ _If wanting to use local embeddings you can use `FastEmbedEncoder` (`pip install -qU "semantic-router[fastembed]`"). To use the `HybridRouteLayer` you must `pip install -qU "semantic-router[hybrid]"`._
❗️ _If wanting to use a fully local version of semantic router you can use `HuggingFaceEncoder` and `LlamaCppEncoder` (`pip install -qU "semantic-router[local]"`, see [here](https://github.com/aurelio-labs/semantic-router/blob/main/docs/05-local-execution.ipynb)). To use the `HybridRouteLayer` you must `pip install -qU "semantic-router[hybrid]"`._
We begin by defining a set of `Route` objects. These are the decision paths that the semantic router can decide to use, let's try two simple routes for now — one for talk on _politics_ and another for _chitchat_:
