Change top_k from 3 to 10 trials for better coverage

10 trials = ~7,790 chars, fits comfortably in 12k context window
Provides better coverage while still focused

Changed 3 locations:
- Line 1475: General queries
- Line 1644: COMPARE queries
- Line 1676: SEARCH_TRIALS queries

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

foundation_engine.py

@@ -1472,7 +1472,7 @@ def process_query_simple_test(conversation):
 
         # Try to search
         start = time.time()
-        context = retrieve_context_with_embeddings(conversation, top_k=3)
+        context = retrieve_context_with_embeddings(conversation, top_k=10)
         search_time = time.time() - start
 
         if not context:
@@ -1641,7 +1641,7 @@ def process_query(conversation):
                     context_parts = []
                     for i, treatment in enumerate(treatments[:2], 1):  # Compare first 2
                         logger.info(f"[COMPARE] Searching trials for {treatment}...")
-                        treatment_trials = retrieve_context_with_embeddings(treatment, top_k=3, entities=parsed_query)
+                        treatment_trials = retrieve_context_with_embeddings(treatment, top_k=10, entities=parsed_query)
 
                         if treatment_trials:
                             context_parts.append(f"=== TRIALS FOR {treatment.upper()} ===\n{treatment_trials}\n")
@@ -1673,7 +1673,7 @@ def process_query(conversation):
                 logger.info("Step 1: RAG search...")
                 output_parts.append("✓ Step 1: RAG search started...\n")
                 # Pass entities for STRICT company filtering
-                context = retrieve_context_with_embeddings(search_query, top_k=3, entities=parsed_query)
+                context = retrieve_context_with_embeddings(search_query, top_k=10, entities=parsed_query)
 
                 if not context:
                     return "No matching trials found in RAG search."