1 files changed, 115 insertions, 0 deletions
diff --git a/R2R/r2r/pipelines/rag_pipeline.py b/R2R/r2r/pipelines/rag_pipeline.py
new file mode 100755
index 00000000..b257ccaa
--- /dev/null
+++ b/R2R/r2r/pipelines/rag_pipeline.py
@@ -0,0 +1,115 @@
+import asyncio
+import logging
+from typing import Any, Optional
+
+from ..base.abstractions.llm import GenerationConfig
+from ..base.abstractions.search import KGSearchSettings, VectorSearchSettings
+from ..base.logging.kv_logger import KVLoggingSingleton
+from ..base.logging.run_manager import RunManager, manage_run
+from ..base.pipeline.base_pipeline import AsyncPipeline
+from ..base.pipes.base_pipe import AsyncPipe, AsyncState
+from ..base.utils import to_async_generator
+
+logger = logging.getLogger(__name__)
+
+
+class RAGPipeline(AsyncPipeline):
+    """A pipeline for RAG."""
+
+    pipeline_type: str = "rag"
+
+    def __init__(
+        self,
+        pipe_logger: Optional[KVLoggingSingleton] = None,
+        run_manager: Optional[RunManager] = None,
+    ):
+        super().__init__(pipe_logger, run_manager)
+        self._search_pipeline = None
+        self._rag_pipeline = None
+
+    async def run(
+        self,
+        input: Any,
+        state: Optional[AsyncState] = None,
+        run_manager: Optional[RunManager] = None,
+        log_run_info=True,
+        vector_search_settings: VectorSearchSettings = VectorSearchSettings(),
+        kg_search_settings: KGSearchSettings = KGSearchSettings(),
+        rag_generation_config: GenerationConfig = GenerationConfig(),
+        *args: Any,
+        **kwargs: Any,
+    ):
+        self.state = state or AsyncState()
+        async with manage_run(run_manager, self.pipeline_type):
+            if log_run_info:
+                await run_manager.log_run_info(
+                    key="pipeline_type",
+                    value=self.pipeline_type,
+                    is_info_log=True,
+                )
+
+            if not self._search_pipeline:
+                raise ValueError(
+                    "_search_pipeline must be set before running the RAG pipeline"
+                )
+
+            async def multi_query_generator(input):
+                tasks = []
+                async for query in input:
+                    task = asyncio.create_task(
+                        self._search_pipeline.run(
+                            to_async_generator([query]),
+                            state=state,
+                            stream=False,  # do not stream the search results
+                            run_manager=run_manager,
+                            log_run_info=False,  # do not log the run info as it is already logged above
+                            vector_search_settings=vector_search_settings,
+                            kg_search_settings=kg_search_settings,
+                            *args,
+                            **kwargs,
+                        )
+                    )
+                    tasks.append((query, task))
+
+                for query, task in tasks:
+                    yield (query, await task)
+
+            rag_results = await self._rag_pipeline.run(
+                input=multi_query_generator(input),
+                state=state,
+                stream=rag_generation_config.stream,
+                run_manager=run_manager,
+                log_run_info=False,
+                rag_generation_config=rag_generation_config,
+                *args,
+                **kwargs,
+            )
+            return rag_results
+
+    def add_pipe(
+        self,
+        pipe: AsyncPipe,
+        add_upstream_outputs: Optional[list[dict[str, str]]] = None,
+        rag_pipe: bool = True,
+        *args,
+        **kwargs,
+    ) -> None:
+        logger.debug(f"Adding pipe {pipe.config.name} to the RAGPipeline")
+        if not rag_pipe:
+            raise ValueError(
+                "Only pipes that are part of the RAG pipeline can be added to the RAG pipeline"
+            )
+        if not self._rag_pipeline:
+            self._rag_pipeline = AsyncPipeline()
+        self._rag_pipeline.add_pipe(
+            pipe, add_upstream_outputs, *args, **kwargs
+        )
+
+    def set_search_pipeline(
+        self,
+        _search_pipeline: AsyncPipeline,
+        *args,
+        **kwargs,
+    ) -> None:
+        logger.debug(f"Setting search pipeline for the RAGPipeline")
+        self._search_pipeline = _search_pipeline