From d84ed0544f3ea2b85e90b6f8c878652ef7693c6c Mon Sep 17 00:00:00 2001 From: James Briggs <35938317+jamescalam@users.noreply.github.com> Date: Tue, 16 Jan 2024 14:02:46 +0000 Subject: [PATCH] readme --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3578cb88..bc853cda 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,7 @@ 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. + --- ## Quickstart @@ -25,7 +26,7 @@ To get started with _semantic-router_ we install it like so: pip install -qU semantic-router ``` -â—ï¸ _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]"`._ +â—ï¸ _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_: -- GitLab