feat: ✨ Embedding working again, have next steps

2026-03-05 17:30:02 +00:00
parent 448024dca3
commit d162aa59dc
3 changed files with 9 additions and 4 deletions
@@ -54,8 +54,11 @@ class DnDRAG(dspy.Module):
        self.generate_answer = dspy.ReAct(signature=DnDContextQA,tools=self.tools)

    def forward(self, question):
-        # Use Turso to retrieve relevant notes
+        # TODO: Add step here to LLM Expand 
+        # given the current question, generate 3-5 distinct search queries.
+        # embed all the questions
        embedded_question = self.embeddings_model._post_request(question)
+        # store the 5 from all 3-5 questions (15 - 25 results)
        results = retrieve_from_turso(embedded_question, k=5)  # k is limit to return

        # Format context as before