chainlit.md

RAG Application for 10-Q Filing Reviews

Built using the following specs:

• Data: AirBnB Securities Commision 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

RAG Inference

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