From 5ef841a755d8ebf2ab5f5b63e7e95d17c201bb39 Mon Sep 17 00:00:00 2001
From: Gopi Krishna <47345617+gopi-hl@users.noreply.github.com>
Date: Mon, 1 Apr 2024 19:02:03 +0530
Subject: [PATCH] Update related_resources.md

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 articles/related_resources.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/articles/related_resources.md b/articles/related_resources.md
index a9a421e5..3d776b15 100644
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+++ b/articles/related_resources.md
@@ -13,6 +13,7 @@ People are writing great tools and papers for improving outputs from GPT. Here a
 - [Guidance](https://github.com/microsoft/guidance): A handy looking Python library from Microsoft that uses Handlebars templating to interleave generation, prompting, and logical control.
 - [Haystack](https://github.com/deepset-ai/haystack): Open-source LLM orchestration framework to build customizable, production-ready LLM applications in Python.
 - [HoneyHive](https://honeyhive.ai): An enterprise platform to evaluate, debug, and monitor LLM apps.
+- [Hyperleap AI](https://hyperleap.ai): A full-stack platform that connects with commercial LLMs to help businesses seamlessly integrate and scale Generative AI capabilities.
 - [LangChain](https://github.com/hwchase17/langchain): A popular Python/JavaScript library for chaining sequences of language model prompts.
 - [LiteLLM](https://github.com/BerriAI/litellm): A minimal Python library for calling LLM APIs with a consistent format.
 - [LlamaIndex](https://github.com/jerryjliu/llama_index): A Python library for augmenting LLM apps with data.