v0.16.2

Added

• pw.xpacks.llm.prompts.RAGPromptTemplate, set of prompt utilities that enable verifying templates and creating UDFs from prompt strings or callables.
• pw.xpacks.llm.question_answering.BaseContextProcessor streamlines development and tuning of representing retrieved context documents to the LLM.
• pw.io.kafka.read now supports with_metadata flag, which makes it possible to attach the metadata of the Kafka messages to the table entries.
• pw.io.deltalake.read can now stream the tables with deletions, if no deletion vectors were used.

Changed

• pw.io.sharepoint.read now explicitly terminates with an error if it fails to read the data the specified number of times per row (the default is 8).
• pw.xpacks.llm.prompts.prompt_qa, and other prompts expect 'context' and 'query' fields instead of 'docs'.
• Removed support for short_prompt_template and long_prompt_template in pw.xpacks.llm.question_answering.BaseRAGQuestionAnswerer. These prompt variants are no longer accepted during construction or in requests.
• pw.xpacks.llm.question_answering.BaseRAGQuestionAnswerer allows setting user created prompts. Templates are verified to include 'context' and 'query' placeholders.
• pw.xpacks.llm.question_answering.BaseRAGQuestionAnswerer can take a BaseContextProcessor that represents context documents to the LLM. Defaults to pw.xpacks.llm.question_answering.SimpleContextProcessor which filters metadata fields and joins the documents with new lines.

Fixed

• The input of pw.io.fs.read and pw.io.s3.read is now correctly persisted in case deletions or modifications of already processed objects take place.