TMD-SDG-via-LangGraph / graph /build_graph.py
mwalker22's picture
Replaced stubbed evolve.py code with an actual process of evolving the question.
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from langgraph.graph import StateGraph
from graph.types import SDGState
from graph.nodes.evolve import evolve_question
from graph.nodes.retrieve import retrieve_relevant_context
from graph.nodes.answer import generate_answer
def build_sdg_graph(docs, vectorstore, llm) -> StateGraph:
# Create a new graph with our state type
builder = StateGraph(SDGState)
# Add nodes with explicit state handling
builder.add_node("evolve", lambda state: evolve_question(state, llm))
builder.add_node("retrieve", lambda state: retrieve_relevant_context(state, vectorstore))
builder.add_node("generate_answer", generate_answer)
# Define the flow
builder.set_entry_point("evolve")
builder.add_edge("evolve", "retrieve")
builder.add_edge("retrieve", "generate_answer")
builder.set_finish_point("generate_answer")
# Compile the graph
graph = builder.compile()
# Return the graph
return graph