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app.py

@@ -179,7 +179,7 @@ def retrieve_and_query(query, retriever_engine):
                 retrieved_image_path_list.append(node.metadata['file_path'])
     
     return response, retrieved_image_path_list
-#tmpnimvp35m , tmpnimvp35m
+#tmpnimvp35m , tmpnimvp35m , tmpydpissmv
 def process_pdf(pdf_file):
     temp_dir = tempfile.TemporaryDirectory()
     unique_folder_name = temp_dir.name.split('/')[-1]
@@ -234,7 +234,7 @@ def main():
 
                 with st.spinner("Retrieving information..."):
                     response, retrieved_image_path_list = retrieve_and_query(query, st.session_state.retriever_engine)
-                
+                    print(retrieved_image_path_list)
                 st.write("Retrieved Context:")
                 for node in response.source_nodes:
                     st.code(node.node.get_text())

qdrant_mm_db_pipeline_tmp0uzyg0nb_construction_pdf/.lock

@@ -0,0 +1 @@
+tmp lock file

qdrant_mm_db_pipeline_tmp0uzyg0nb_construction_pdf/collection/image_collection_pipeline_tmp0uzyg0nb_construction_pdf/storage.sqlite

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:716020e47d41d39ea7e3e302ac0687b1a62e2b94991bc700fb5bcbaf6722380f
+size 1585152

qdrant_mm_db_pipeline_tmp0uzyg0nb_construction_pdf/collection/text_collection_pipeline_tmp0uzyg0nb_construction_pdf/storage.sqlite

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c077e65278dfde8d472135f12860bf39fedcf018d44a00d54fc04b2f4eb6afb0
+size 2998272

qdrant_mm_db_pipeline_tmp0uzyg0nb_construction_pdf/meta.json

@@ -0,0 +1 @@
+{"collections": {"text_collection_pipeline_tmp0uzyg0nb_construction_pdf": {"vectors": {"size": 1536, "distance": "Cosine", "hnsw_config": null, "quantization_config": null, "on_disk": null, "datatype": null, "multivector_config": null}, "shard_number": null, "sharding_method": null, "replication_factor": null, "write_consistency_factor": null, "on_disk_payload": null, "hnsw_config": null, "wal_config": null, "optimizers_config": null, "init_from": null, "quantization_config": null, "sparse_vectors": null}, "image_collection_pipeline_tmp0uzyg0nb_construction_pdf": {"vectors": {"size": 512, "distance": "Cosine", "hnsw_config": null, "quantization_config": null, "on_disk": null, "datatype": null, "multivector_config": null}, "shard_number": null, "sharding_method": null, "replication_factor": null, "write_consistency_factor": null, "on_disk_payload": null, "hnsw_config": null, "wal_config": null, "optimizers_config": null, "init_from": null, "quantization_config": null, "sparse_vectors": null}}, "aliases": {}}