Conditional Branch

#### Step 7: Search and Retrieve ```python query = "Query in a rare language" query_language = detect_language(query) if query_language == 'rare_language': query_embedding = language_specific_model.encode(query, convert_to_tensor=True…

upload_to_azure(azure_blob_service_client, azure_container_name, document_path) upload_times.append(time.time() - start_time) start_time = time.time() download_from_azure(azure_blob_service_c…

[Turn 541] Assistant: Certainly! To complete the analysis of the key performance bottlenecks for your RAG system and identify the key areas for improvement, let's delve into each bottleneck and provide detailed insights. Here's an enhanced …

[Turn 1166] User: I'm working on a proof of concept for testing 2 retrieval tools on 400 documents, and I want to achieve 90% recall, but I'm having trouble with the implementation, can someone help me with this? ```python import numpy as …

logger.info("Correcting configuration settings for tech2...") # Simulate correcting configuration settings logger.info("Configuration settings corrected successfully.") # Additional steps if initial …

for source_task in source_tasks: if source_task.unique_id not in [dest_task.unique_id for dest_task in destination_tasks]: synced_tasks.append(source_task) else: print(f"Duplicate task detected: {…

transition_id = transition['id'] break if transition_id: jira.transition_issue(task, transition_id) print(f"Task {task_key} has been updated to {desired_status}.") else: print(f"No transition found for status {d…

replaced_terms.append(oov_replacements[term]) # Join the replaced terms back into a single string replaced_query = " ".join(replaced_terms) return replaced_query # Test the function query = "What are the b…

top_k = data.get('top_k', 10) # Perform vector search logic here results = perform_vector_search(query_vector, top_k) return jsonify(results) api.add_resource(VectorSearch, '/vector-search'…

except requests.exceptions.ConnectionError as e: raise HTTPException(status_code=503, detail=str(e)) except requests.exceptions.Timeout as e: raise HTTPException(status_code=504, detail=str(e)) except Exception a…

### 4. Monitor and Adjust Monitor the performance of your system during the re-encryption process and adjust the batch size or frequency of re-encryption tasks as needed. ### Example Implementation Let's walk through an example implement…

collection_name = "my_collection" collection = Collection(name=collection_name, schema=schema) # Check if the index is built index_info = collection.describe_index() if index_info["params"] == {}: print("Index not built. Rebuilding the…

:return: List of processed segments. """ if len(input_sequence) > self.max_tokens: self.logger.info(f"Token overflow detected: {len(input_sequence)} tokens") segmented_inputs = self.segment_in…

correct_count = 0 for query, expected in zip(test_queries, expected_outcomes): # Calculate complexity complexity = calculate_complexity(query) # Apply threshold and resize window resized_quer…

complexity_scoring_module = ComplexityScoringModule().to(device) resizing_module = ResizingModule().to(device) # Define a function to process inputs def process_inputs(inputs, complexity_threshold=0.7): inputs = inputs.to(device) w…

# Process documents and retrieve metadata for doc in docs: doc.metadata = get_metadata(doc.id) if not validate_metadata(doc.metadata, doc.expected_metadata): logging.debug(f"Metadata mismatch found in doc {doc.id}: Expected …

By adjusting the output format of the synonym expansion module to match the expected input format of the query rewriting pipeline, you can successfully integrate the two modules. This ensures that the output of the synonym expansion module …

4. **Calculate Similarity**: Use cosine similarity to measure the semantic similarity between the queries. 5. **Log Errors**: Log intent misinterpretation errors with detailed information. 6. **Analyze Logs**: Regularly review the logs to i…

logging.error(f'Error in PostProcessor for text "{text}": {e}') return text # Define the evaluation function def evaluate_reformulation(stages, inputs, outputs): # Apply the reformulation stages to the inputs …