Description
/Preferred Qualifications
Key Objectives:
Develop a chatbot capable of answering questions about historical software bugs, feature requests, or documentation using semantic search and RAG.Build an intelligent agent that automatically classifies and prioritizes new issues, and recommends appropriate actions (e.g., assignment, escalation, deferral).Integrate conventional and vector databases to manage structured and unstructured data.Apply natural language processing (NLP) techniques to extract meaningful insights from issue descriptions and metadata.Technologies & Tools:
Microsoft Graph ConnectorsPython, LangChain or LlamaIndexVector databases (e.g., Pinecone, Qdrant, Weaviate)Embedding models (e.g., SentenceTransformers, OpenAI)Conventional databases (e.g., PostgreSQL, MongoDB)Large Language Models (e.g., GPT-4, Claude)Learning Outcom...