added updates geneseek

data/ingested_hashes.txt

@@ -1 +1,6 @@
 5db83d178bdb1dfa9ffa7a8f0d45be91
+99c5e9c29163c23a553ef99db781173f
+bd55faa478dc3a25a6cde772d66cb61f
+ec5d37f6f9c7551c9846d7cab7addaa4
+a5d52faacf5282017118299ca768662a
+325adbda069e9b52dcb6fc830c85f430

eval.py

@@ -3,6 +3,7 @@ from datasets import Dataset
 from ragas import evaluate
 from ragas.llms import LangchainLLMWrapper
 from ragas.embeddings import LangchainEmbeddingsWrapper
+from ragas.run_config import RunConfig
 from ragas.metrics import (
     faithfulness,
     answer_relevancy,
@@ -137,6 +138,7 @@ def run_evaluation():
         metrics=[faithfulness, answer_relevancy, context_precision, context_recall],
         llm=evaluator_llm,
         embeddings=evaluator_embeddings,
+        run_config=RunConfig(timeout=120, max_workers=4)
     )
 
     print("\nEvaluation Scores:")

main.py

@@ -69,6 +69,7 @@ async def upload_document(file: UploadFile = File(...)):
 
 @app.post("/chat", response_model=ChatResponse)
 async def chat_endpoint(request: ChatRequest):
+    global rag_chain
     if rag_chain is None:
         raise HTTPException(503, "No documents ingested yet. Please upload a file first.")
     try:

run_ingest_all.py

@@ -0,0 +1,11 @@
+# run_ingest_all.py (place in root)
+from src.ingest import ingest_file
+from src import config
+import os
+
+for fname in os.listdir(config.RAW_DATA_DIR):
+    fpath = str(config.RAW_DATA_DIR / fname)
+    print(f"Ingesting: {fname}")
+    ingest_file(fpath)
+
+config.qdrant_client.close()