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chore: import upstream snapshot with attribution
2026-07-13 13:00:43 +08:00

42 lines
1.6 KiB
Python

"""Structural contract every RAG pipeline implements.
The RAG service and factory have always relied on duck typing across pipelines
(``initialize`` / ``add_documents`` / ``search`` / ``delete``). This Protocol
makes that contract explicit so a new engine — e.g. the PageIndex cloud
pipeline — can be type-checked against the same shape the LlamaIndex pipeline
already satisfies. It is intentionally minimal: ``RAGService`` still probes for
optional methods with ``hasattr`` to stay tolerant of partial implementations.
"""
from __future__ import annotations
from typing import Any, Dict, List, Protocol, runtime_checkable
@runtime_checkable
class RAGPipeline(Protocol):
"""A knowledge-base index/retrieve engine bound to a KB by its provider."""
async def initialize(self, kb_name: str, file_paths: List[str], **kwargs: Any) -> bool:
"""Build a fresh index for ``kb_name`` from ``file_paths``."""
...
async def add_documents(self, kb_name: str, file_paths: List[str], **kwargs: Any) -> bool:
"""Incrementally add ``file_paths`` to ``kb_name``'s existing index."""
...
async def search(self, query: str, kb_name: str, **kwargs: Any) -> Dict[str, Any]:
"""Retrieve grounded context for ``query`` from ``kb_name``.
Returns a dict with at least ``query``, ``content``/``answer``,
``sources`` and ``provider`` keys.
"""
...
async def delete(self, kb_name: str, **kwargs: Any) -> bool:
"""Delete ``kb_name`` and any engine-side resources."""
...
__all__ = ["RAGPipeline"]