- Introduction of dynamic Retrievers & Specialists

- Introduction of dynamic Processors
- Introduction of caching system
- Introduction of a better template manager
- Adaptation of ModelVariables to support dynamic Processors / Retrievers / Specialists
- Start adaptation of chat client

common/langchain/outputs/rag.py

@@ -0,0 +1,22 @@
+# RAG Specialist Output - common/langchain/outputs/rag.py
+from typing import List
+from pydantic import Field
+from .base import BaseSpecialistOutput
+
+
+class RAGOutput(BaseSpecialistOutput):
+    """Output schema for RAG specialist"""
+    """Default docstring - to be replaced with actual prompt"""
+
+    answer: str = Field(
+        ...,
+        description="The answer to the user question, based on the given sources",
+    )
+    citations: List[int] = Field(
+        ...,
+        description="The integer IDs of the SPECIFIC sources that were used to generate the answer"
+    )
+    insufficient_info: bool = Field(
+        False,  # Default value is set to False
+        description="A boolean indicating whether given sources were sufficient or not to generate the answer"
+    )