Merge pull request #200 from Hawksight-AI/docs

Update earnings call analysis notebook with relation extraction fixes

cookbook/use_cases/finance/03_Earnings_Call_Analysis.ipynb

@@ -385,22 +385,49 @@
     "        \"FOR_PERIOD\",\n",
     "        \"RELATED_TO\",\n",
     "    ],\n",
+    "    provider=\"groq\",\n",
+    "    llm_model=\"llama-3.1-8b-instant\",\n",
     "    api_key=GROQ_API_KEY,\n",
+    "    temperature=0.0,\n",
+    "    verbose=False,\n",
     ")\n",
     "\n",
-    "relationships = [\n",
-    "    r\n",
-    "    for c in chunks\n",
-    "    for r in relation_extractor.extract_relations(\n",
-    "        text=get_chunk_text(c),\n",
-    "        entities=all_entities,\n",
-    "        provider=\"groq\",\n",
-    "        llm_model=\"llama-3.1-8b-instant\",\n",
-    "        temperature=0.0,\n",
+    "# Process ALL chunks with ALL entities\n",
+    "relationships = []\n",
+    "total_chunks = len(chunks)\n",
+    "\n",
+    "print(f\"Processing {total_chunks} chunks with {len(all_entities)} entities each...\")\n",
+    "print(\"This may take a while. Starting now...\\n\")\n",
+    "\n",
+    "for i, c in enumerate(chunks):\n",
+    "    text = get_chunk_text(c).strip()\n",
+    "    if not text:\n",
+    "        print(f\"Chunk {i+1}/{total_chunks}: Skipped (empty)\")\n",
+    "        continue\n",
+    "    \n",
+    "    # Use ALL entities for each chunk\n",
+    "    chunk_entities = all_entities\n",
+    "    \n",
+    "    # Show progress with remaining count\n",
+    "    remaining = total_chunks - (i + 1)\n",
+    "    print(f\"Chunk {i+1}/{total_chunks} ({remaining} remaining) - Processing {len(chunk_entities)} entities...\")\n",
+    "    \n",
+    "    rels = relation_extractor.extract_relations(\n",
+    "        text=text,\n",
+    "        entities=chunk_entities,\n",
+    "        verbose=True,  # Enable verbose to see logs\n",
     "    )\n",
-    "    if get_chunk_text(c).strip()\n",
-    "]\n",
-    "print(\"Relationships:\", len(relationships))\n"
+    "    \n",
+    "    relationships.extend(rels)\n",
+    "    print(f\"Chunk {i+1}: Found {len(rels)} relations\")\n",
+    "\n",
+    "print(f\"\\nComplete! Total relationships from all {total_chunks} chunks: {len(relationships)}\")\n",
+    "\n",
+    "# Show sample relations\n",
+    "if relationships:\n",
+    "    print(\"\\nSample relationships:\")\n",
+    "    for r in relationships[:15]:\n",
+    "        print(f\"- {r.subject.text} → {r.predicate} → {r.object.text}\")"
    ]
   },
   {