fix(transcription): [2f388f42] finalize and fix AI insights feature

This commit resolves all outstanding issues with the AI Insights feature.

- Corrects the transcript formatting logic in  to properly handle the database JSON structure, ensuring the AI receives the correct context.
- Fixes the Gemini API client by using the correct model name ('gemini-2.0-flash') and the proper client initialization.
- Updates  to securely pass the API key as an environment variable to the container.
- Cleans up the codebase by removing temporary debugging endpoints.
- Adds  script for programmatic updates.
- Updates documentation with troubleshooting insights from the implementation process.

check_db_content.py

@@ -0,0 +1,36 @@
+
+import sys
+import os
+import logging
+
+logging.basicConfig(level=logging.INFO)
+
+sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), 'company-explorer')))
+
+from backend.database import SessionLocal, Company
+
+def check_db_content():
+    db = SessionLocal()
+    try:
+        print("--- Checking content of 'companies' table ---")
+        companies = db.query(Company).limit(5).all()
+        
+        if not companies:
+            print("!!! FATAL: The 'companies' table is EMPTY.")
+            # Let's check if the table is there at all
+            try:
+                count = db.query(Company).count()
+                print(f"Row count is confirmed to be {count}.")
+            except Exception as e:
+                print(f"!!! Could not even count rows. The table might be corrupt. Error: {e}")
+
+        else:
+            print(f"Found {len(companies)} companies. Data seems to be present.")
+            for company in companies:
+                print(f"  - ID: {company.id}, Name: {company.name}")
+
+    finally:
+        db.close()
+
+if __name__ == "__main__":
+    check_db_content()