v5.2.0

• Minor bug fixes
• Docker image updates and move of prebuilt images to Splunk's dockerhub repository
• New AI capabilities (currently for Docker only)
  -- Standalone LLM: using LLM for zero-shot Q&A or natural language processing tasks
  -- Standalone VectorDB: using VectorDB to encode data from Splunk and conduct similarity search
  -- Document-based LLM-RAG: encoding documents such as internal knowledge bases or past support tickets into VectorDB and using them as contextual information for LLM generation
  -- Function-Calling-based LLM-RAG: defining function tools in the Jupyter notebook for the LLM to execute automatically in order to obtain contextual information for generation