Skip to content

Commit

Permalink
Requested changes/ fixes
Browse files Browse the repository at this point in the history
  • Loading branch information
juliamuiruri4 committed Apr 17, 2024
1 parent d6f460e commit a8048ee
Showing 1 changed file with 3 additions and 3 deletions.
6 changes: 3 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ This sample shows how to build a serverless ChatGPT-like experience with Retriev

Building AI applications can be complex and time-consuming, but using LangChain.js and Azure serverless technologies allows to greatly simplify the process. This application is a chatbot that uses a set of enterprise documents to generate responses to user queries.

We provide sample data to make this sample ready to try, but feel free to replace it with your own. We use a fictitious company called _Contoso Real Estate_, and the experience allows its customers to ask support questions about the usage of its products. The sample data includes a set of documents, in .pdf and markdown format, that describes its terms of service, privacy policy and a support guide.
We provide sample data to make this sample ready to try, but feel free to replace it with your own. We use a fictitious company called _Contoso Real Estate_, and the experience allows its customers to ask support questions about the usage of its products. The sample data includes a set of documents that describes its terms of service, privacy policy and a support guide.

<div align="center">
<img src="./docs/images/architecture.drawio.png" alt="Application architecture" width="640px" />
Expand Down Expand Up @@ -101,7 +101,7 @@ There are multiple ways to run this sample: locally using Ollama or Azure OpenAI

### Run the sample locally with Ollama

If you have a machine with enough resources (sufficient disk space), you can run this sample entirely locally without using any cloud resources. To do that, you first have to install [Ollama](https://ollama.com) and then run the following commands to download the models on your machine:
If you have a machine with enough resources, you can run this sample entirely locally without using any cloud resources. To do that, you first have to install [Ollama](https://ollama.com) and then run the following commands to download the models on your machine:

```bash
ollama pull mistral
Expand Down Expand Up @@ -159,7 +159,7 @@ Note that the documents are uploaded automatically when deploying the sample to

#### Azure prerequisites

- **Azure account**. If you're new to Azure, [get an Azure account for free](https://azure.microsoft.com/free) to get free Azure credits to get started.
- **Azure account**. If you're new to Azure, [get an Azure account for free](https://azure.microsoft.com/free) to get free Azure credits to get started. If you're a student, you can also get free credits with [Azure for Students](https://aka.ms/azureforstudents).
- **Azure subscription with access enabled for the Azure OpenAI service**. You can request access with [this form](https://aka.ms/oaiapply).

#### Deploy the sample
Expand Down

0 comments on commit a8048ee

Please sign in to comment.