Python,LlamaIndex, RabbitMQ, Langchain, Asyncio, Unstructured.io, Supabase, Pinecone, Docker, REST API in WiseVision

Hello, looking for Essential skills:
LlamaIndex, RabbitMQ, Langchain, Asyncio, Unstructured.io, Supabase, Pinecone, Docker, REST API.

Desirable skills: fastapi, uvicorn, aio-pika, aiohttp, aiormq, beautifulsoup4.

Our platform aims to streamline the development and deployment of AI Agents, offering users robust tools for customization and performance optimization. We simplify intricate procedures into user-friendly experiences.

Your role involves maintaining and enhancing our app's knowledge section, integrating and improving associated libraries, ensuring smooth data flow and efficient API interactions, and enhancing the scalability and performance of our AI Agents. Initially, you may start by refactoring the code to utilize serverless functions.

Please respond with the answers to the following questions.

Can you describe your experience with Python and the different libraries listed in the job post, including specific projects or scenarios where these were utilized?

How have you utilized LlamaIndex in previous projects, specifically in building LLM applications, and can you explain RAG (Retrieval Augmented Generation) and its relevance to Unstructured.io?

Describe a scenario where you effectively used RabbitMQ for real-time data transfer. What were the challenges and how did you overcome them?

Do you have experience with serverless functions (lambdas, etc.) ? please explain

Can you explain your approach to queue management and memory management when using Unstructured.io to ingest and process large amounts of files? How do you ensure system stability and avoid server crashes during high-load operations?

Full time, rate to consider.