Spaces:
Sleeping
Sleeping
title: Ads Rag | |
emoji: 🦀 | |
colorFrom: red | |
colorTo: blue | |
sdk: gradio | |
sdk_version: 4.32.1 | |
app_file: rag.py | |
pinned: false | |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
## Steps for running rag -: | |
1. Create .env file in root folder and add the following environment variables | |
``` | |
OPENAI_API_KEY=<YOUR OPENAI KEY> | |
``` | |
2. Run the following commands: | |
``` | |
pip3 install -r requirements.txt | |
python3 rag.py | |
``` | |
Neo4j RAG course - https://www.deeplearning.ai/short-courses/knowledge-graphs-rag/ | |
1. langchain documentation retreiver - https://python.langchain.com/v0.1/docs/modules/data_connection/retrievers/vectorstore/ | |
2. https://medium.com/@shaktikanungo2019/3. conversational-ai-unveiling-the-first-rag-chatbot-with-langchain-8b9b04ee4b63 | |
3. https://medium.com/@vikrambhat2/building-a-rag-system-and-conversational-chatbot-with-custom-data-793e9617a865 | |
4. https://abvijaykumar.medium.com/retrieval-augmented-generation-rag-with-llamaindex-1828ef80314c | |
5. https://medium.com/the-ai-forum/implementing-agentic-rag-using-langchain-b22af7f6a3b5 | |