<div align="center">
<h1>
<br/>
<img src="img/langchain_util.jpg" alt="LangChain Util" width="60"/>
<br/>
LangChain Utility
</h1>
</div>
<p align="center">
<a href="https://www.python.org/downloads/release/python-3114/">
<img src="https://img.shields.io/badge/python-3.11.4-blue.svg"/>
</a>
<a href="https://python-poetry.org/">
<img src="https://img.shields.io/badge/dependency-poetry-%B2EA00"/>
</a>
<a href="https://github.com/langchain-ai/langchain">
<img src="https://img.shields.io/badge/dependency-LangChain-%B2EA00"/>
</a>
<a href="https://github.com/protectai/llm-guard">
<img src="https://img.shields.io/badge/dependency-llm_guard-%B2EA00"/>
</a>
<a href="https://github.com/traceloop/openllmetry">
<img src="https://img.shields.io/badge/dependency-OpenLLMetry-%B2EA00"/>
</a>
<a href="https://github.com/streamlit/streamlit">
<img src="https://img.shields.io/badge/dependency-streamlit-%B2EA00"/>
</a>
<a href="https://github.com/qhreul/langchain-util/blob/develop/LICENSE">
<img src="https://img.shields.io/pypi/l/giteo"/>
</a>
</p>
- [Description](#description)
- [Documentation](#documentation)
- [Development](#development)
- [Requirements](#requirements)
- [Environment Variables](#environment-variables)
- [How to prepare the environment](#how-to-prepare-the-environment)
- [About RQle.AI](#about-rqle-ai)
- [Disclaimer](#disclaimer)
## Description <a name="description"></a>
[LangChain](https://www.langchain.com/langchain) is a framework for developing applications powered by language models.
It enables application that:
* **Are context aware**; i.e. connect a language model to sources context
* **Reason**; i.e. rely on a language model to reason
This library offers integration with the following Generative AI servers:
* [AWS Bedrock](https://us-west-2.console.aws.amazon.com/bedrock/home)
* [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service)
* [Google AI Studio](https://aistudio.google.com/)
* [ollama](https://ollama.com/)
* [Oracle Cloud Infrastructure AI](https://www.oracle.com/artificial-intelligence/ai-services/)
This library extends LangChain by providing facilities to define configurations, templates for execution of LLMs.
## Documentation <a name="documentation"></a>
To get started refer to the [documentation](docs/get_started/introduction.md).
## Development <a name="development"></a>
### Requirements <a name="requirements"></a>
* Git
* llm-guard >= 0.3
* langchain >= 0.2
* traceloop-sdk >= 0.13
* Python = 3.11
* Poetry >= 1.7.0
* streamlit >= 1.32
### Environment Variables <a name="environment-variables"></a>
| **Name** | **Description** | **Default** |
|--------------------------|--------------------------------------------------------------------------------|-----------------|
| `LOG_DIR` | Location of the logging files | logs/ |
| `LOG_LEVEL` | Logging level to be applied during execution | INFO |
| `AUDIO_TMP_FOLDER` | Location of temporary audio files when transcribing videos | tmp/audio/ |
| `PROMPT_CONFIG_FOLDER` | Location of the Prompt configuration for execution | prompt_configs/ |
### How to prepare the environment <a name="how-to-prepare-the-environment"></a>
* Install dependencies
```
poetry install
```
---
**NOTE**
To update dependencies, it may be needed to run the following command prior to installing the packages:
```
poetry lock
```
---
* Test unit test coverage for the project
```
poetry run coverage run -m pytest && poetry run coverage report -m
```
**Note** Report is only generated if all unit test have completed successfully.
## About RQle.AI <a name="about-rqle-ai"></a>
[**RQle.AI**](https://www.linkedin.com/company/102641077) believes in the transformative potential of Generative AI. More specifically, it focuses on showcasing real-world applications of how Generative AI can empower individuals and organizations worldwide in addressing customers' "*job to be done*" problems and create value for them.
## Disclaimer <a name="disclaimer"></a>
This library and its use of Large Language Models (LLMs) are subject to the **following disclaimers**:
* LLMs are still under development and may generate inaccurate, incomplete, or biased output;
* LLMs can inherit and reflect biases present in their training data;
* Developers of this library are not liable for any damages or losses arising from its use;
* You are responsible for using the library and LLMs in an ethical and responsible manner.
**By using this library, you acknowledge and agree to these disclaimers and limitations**.
<div style="text-align: center;">
<hr/>
<img src="img/rqle_ai_logo_alt.jpeg" alt="RQle.AI" width="60"/>
RQle.AI - 2024
</div>
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