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README.md

 # LLM Query Recommender
 
+A tool that uses Large Language Models to assist users in generating meaningful queries for knowledge graphs based on their schema and natural language input.
 
+## Table of Contents
 
-## Getting started
+- [Introduction](#introduction)
+- [Features](#features)
+- [Getting Started](#getting-started)
+  - [Prerequisites](#prerequisites)
+  - [Installation](#installation)
+- [Usage](#usage)
+- [Evaluation](#evaluation)
+- [Support](#support)
+- [Contributing](#contributing)
+- [Authors and acknowledgment](#authors-and-acknowledgement)
+- [License](#license)
+- [Project status](#project-status)
 
-To make it easy for you to get started with GitLab, here's a list of recommended next steps.
+## Introduction
 
-Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!
+Knowledge graphs are powerful tools for representing complex relationships within data across various domains. However, interacting with them often requires expertise in query languages and a deep understanding of their schemas, making it less accessible to non-expert users.
 
-## Add your files
+The **LLM Query Recommender** aims to make it easier for users by:
 
-- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files
-- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:
+1. **Interpreting User Intents**: Utilizing Large Language Models (LLMs) to comprehend users’ intentions expressed in everyday language.
+2. **Translating Intents into Queries**: Converting these intentions into good queries.
+3. **Evaluating Generated Queries**: Evaluating the relevance and effectiveness of each generated query using [Opik](https://github.com/comet-ml/opik).
 
-```
-cd existing_repo
-git remote add origin https://git.science.uu.nl/graphpolaris/experiments/llm-query-recommender.git
-git branch -M main
-git push -uf origin main
-```
+By enabling natural language interactions with knowledge graphs, this tool tries to make complex data structures more accessible to a broader audience with limited expertise.
 
-## Integrate with your tools
+## Features
 
-- [ ] [Set up project integrations](https://git.science.uu.nl/graphpolaris/experiments/llm-query-recommender/-/settings/integrations)
+- **Natural Language Understanding**: Accepts user queries in natural language and interprets their intent.
+- **Query Generation**: Generates a structured query based on the provided knowledge graph schema.
+- **Evaluation**: Integrates with [Opik](https://github.com/comet-ml/opik) to quantitatively assess the generated queries.
 
-## Collaborate with your team
+## Getting Started
 
-- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
-- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
-- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
-- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)
-- [ ] [Set auto-merge](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)
+### Prerequisites
 
-## Test and Deploy
+- **OpenAI API Key**: Access to the OpenAI API
+- **Knowledge Graph Schema**: A schema file of the knowledge graph you wish to query
+- **Opik Evaluation Tool**: Opik's [GitHub repository](https://github.com/comet-ml/opik)
 
-Use the built-in continuous integration in GitLab.
+### Installation
 
-- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)
-- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing (SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
-- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
-- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
-- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
+1. **Clone the repository**
 
-***
+   ```
+   git clone https://git.science.uu.nl/graphpolaris/experiments/llm-query-recommender.git
+   cd llm-query-recommender
+   ```
 
-# Editing this README
+2. **Install dependencies**
 
-When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thanks to [makeareadme.com](https://www.makeareadme.com/) for this template.
+    ```
+   pip install -r requirements.txt
+    ```   
 
-## Suggestions for a good README
+3. **Set Up environment variables**
 
-Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
+   Create a `.env` file in the project directory and add your API keys:
+    ```
+    OPENAI_API_KEY=
+    OPIK_API_KEY=
+    ```   
 
-## Name
-Choose a self-explaining name for your project.
+## Usage
 
-## Description
-Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
+1. **Prepare the Knowledge Graph Schema**
 
-## Badges
-On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
+   Ensure you have the schema of the knowledge graph available.
 
-## Visuals
-Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
 
-## Installation
-Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
+2. **Run the Application**
 
-## Usage
-Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
+    ```
+   python main.py
+   ```
+
+3. **Enter User Intent**
+
+   When prompted, input your query in natural language. For example:
+
+    ```
+   Show me all actors that have played in movies directed by Christopher Nolan.
+   ```
+
+## Evaluation
+
+The tool integrates with **Opik** to score the LLM's response.
+
+- **Opik GitHub Repository**: [https://github.com/comet-ml/opik](https://github.com/comet-ml/opik)
 
 ## Support
-Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
 
-## Roadmap
-If you have ideas for releases in the future, it is a good idea to list them in the README.
+For support contact me at tvandermeijden at students dot uu dot nl
 
 ## Contributing
-State if you are open to contributions and what your requirements are for accepting them.
 
-For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
+T.B.D.
 
-You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
+## Authors and acknowledgement
 
-## Authors and acknowledgment
-Show your appreciation to those who have contributed to the project.
+- **OpenAI**: For the GPT-4 model and API.
+- **Opik**: For the evaluation.
 
 ## License
-For open source projects, say how it is licensed.
+
+T.B.D.
 
 ## Project status
-If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.
+
+In early development
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