https://github.com/lixx21/llm-datatalks-faq

BUILD LLM using ElasticSearch and Mistral.AI
https://github.com/lixx21/llm-datatalks-faq

elasticsearch llm mistral-ai rag streamlit

Last synced: 3 months ago
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BUILD LLM using ElasticSearch and Mistral.AI

• Host: GitHub
• URL: https://github.com/lixx21/llm-datatalks-faq
• Owner: lixx21
• Created: 2024-06-29T03:05:34.000Z (6 months ago)
• Default Branch: master
• Last Pushed: 2024-06-29T04:41:14.000Z (6 months ago)
• Last Synced: 2024-10-11T22:03:22.261Z (3 months ago)
• Topics: elasticsearch, llm, mistral-ai, rag, streamlit
• Language: Python
• Homepage:
• Size: 90.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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# About

in this project, we will using [ElasticSearch](https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/index.html) and [Mistral.AI](https://mistral.ai/) to build LLM from [DataTalks](https://datatalks.club/) FAQ dataset 

# How To Start

1. install the libraries using `pip install -r requirements.txt`

2. on [mistralAI.py](./mistralAI.py), write your own API key for Mistral.AI on `mistral_key` variable

3. run docker for elastic search using this command `docker run -it --rm --name elasticsearch -p 9200:9200 -p 9300:9300  -e "discovery.type=single-node" -e "xpack.security.enabled=false"  docker.elastic.co/elasticsearch/elasticsearch:8.4.3`

4. run app using `streamlit run app.py`

# App