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45 changes: 23 additions & 22 deletions config/evaluation_data.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -7,66 +7,67 @@
- "ragas:faithfulness"
- "ragas:response_relevancy"
- "ragas:context_precision_without_reference"
turn_metrics_metadata:
"ragas:faithfulness":

turn_metrics_metadata:
"ragas:faithfulness":
threshold: 0.99
conversation_metrics: []
conversation_metrics_metadata: {}

turns:
- turn_id: 1
- turn_id: "1"
query: "User query"
response: "API response"
contexts:
- content: "Context 1"
- content: "Context 2"
- "Context 1"
- "Context 2"
expected_response: "Expected Response"

- conversation_group_id: "conv_group_2"
description: "conversation group description"

turn_metrics:
- "ragas:context_recall"
- "ragas:context_relevance"
- "ragas:context_relevance"
- "ragas:context_precision_with_reference"

turn_metrics_metadata: {}
conversation_metrics: []
conversation_metrics_metadata: {}

turns:
- turn_id: 1
- turn_id: "1"
query: "User Query"
response: "API Response"
contexts:
- content: "Context 1"
- "Context 1"
expected_response: "Expected Response"

- conversation_group_id: "conv_group_3"

description: "conversation group description"

turn_metrics:
- "custom:answer_correctness"

turn_metrics_metadata: {}

conversation_metrics:
- "deepeval:conversation_completeness"
- "deepeval:conversation_relevancy"

conversation_metrics_metadata: {}

turns:
- turn_id: 1
- turn_id: "1"
query: "User Query 1"
response: "API Response 1"
contexts:
- content: "Context"
- "Context"
expected_response: "Expected Response 1"
- turn_id: 2

- turn_id: "2"
query: "User Query 2"
response: "API Response 2"
contexts:
- content: "Context"
- "Context"
expected_response: "Expected Response 2"
24 changes: 12 additions & 12 deletions config/system.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -34,47 +34,47 @@ metrics_metadata:
"ragas:faithfulness":
threshold: 0.8
description: "How faithful the response is to the provided context"

"ragas:response_relevancy":
threshold: 0.8
description: "How relevant the response is to the question"

# Ragas Context/Retrieval Evaluation metrics
"ragas:context_recall":
threshold: 0.8
description: "Did we fetch every fact the answer needs?"

"ragas:context_relevance":
threshold: 0.7
description: "Is what we retrieved actually relevant to user query?"

"ragas:context_precision_with_reference":
threshold: 0.7
description: "How precise the retrieved context is (with reference)"

"ragas:context_precision_without_reference":
threshold: 0.7
description: "How precise the retrieved context is (without reference)"

# Custom metrics
"custom:answer_correctness":
threshold: 0.75
description: "Correctness vs expected answer using custom LLM evaluation"

"custom:tool_eval":
description: "Tool call evaluation comparing expected vs actual tool calls"

# Conversation-level metrics metadata
conversation_level:
# DeepEval metrics
"deepeval:conversation_completeness":
threshold: 0.8
description: "How completely the conversation addresses user intentions"

"deepeval:conversation_relevancy":
threshold: 0.7
description: "How relevant the conversation is to the topic/context"

"deepeval:knowledge_retention":
threshold: 0.7
description: "How well the model retains information from previous turns"
Expand All @@ -87,11 +87,11 @@ output:
- csv # Detailed results CSV
- json # Summary JSON with statistics
- txt # Human-readable summary

# CSV columns to include
csv_columns:
- "conversation_group_id"
- "turn_id"
- "turn_id"
- "metric_identifier"
- "score"
- "threshold"
Expand All @@ -105,7 +105,7 @@ output:
visualization:
figsize: [12, 8] # Graph size (width, height)
dpi: 300 # Image resolution

# Graph types to generate
enabled_graphs:
- "pass_rates" # Pass rate bar chart
Expand Down