| # RAG Application for 10-Q Filing Reviews | |
| ## Built using the following specs: | |
| - Data: [AirBnB Securities Commision pdf](https://airbnb2020ipo.q4web.com/files/doc_financials/2024/q1/fdb60f7d-e616-43dc-86ef-e33d3a9bdd05.pdf) - Form 10-Q filing for Q1 of 2024 | |
| - LLM: Llama3-70B running on Groq | |
| - Embedding model: OpenAI text-embedding-3-small | |
| - Infrastructure / Framework: LangChaing | |
| - Vector Store: Qdrant | |
| - UI: Chainlit | |
| - Deployment: Docker on HuggingFace Spaces | |
| ## RAG Data Ingestion | |
| - Additional details on the Data Pipeline are in this [Jupyter Notebook](./airbnb_langchain_rag_loader_retriever.ipynb) | |
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| ## RAG Inference | |
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| ### Sample Questions | |
| #### Question 1 | |
| - Question: What is Airbnb's 'Description of Business'? | |
| - Response: Airbnb's 'Description of Business' is operating a global platform for unique stays and experiences, connecting hosts and guests (collectively referred to as "customers") online or through mobile devices to book spaces and experiences around the world. | |
| - LangSmith trace: https://smith.langchain.com/public/97ddd0f2-9316-40d2-90b2-813519c501d5/r | |
| #### Question 2 | |
| - Question: What was the total value of 'Cash and cash equivalents' as of December 31, 2023? | |
| - Response: The total value of 'Cash and cash equivalents' as of December 31, 2023, is $2,369. | |
| - LangSmith trace: https://smith.langchain.com/public/35425a02-84d7-4bb8-b715-64f96270ac57/r | |
| #### Question 3 | |
| - Question: What is the 'maximum number of shares to be sold under the 10b5-1 Trading plan' by Brian Chesky? | |
| - Response: The maximum number of shares to be sold under the 10b5-1 Trading Plan by Brian Chesky is 1,146,000. | |
| - LangSmith trace: https://smith.langchain.com/public/7854d66c-1317-488c-a0a0-4e492491143f/r |