/
prompt_flow.yml
104 lines (104 loc) · 2.85 KB
/
prompt_flow.yml
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inputs:
question:
type: string
default: <YOUR QUESTION HERE>
is_chat_input: false
outputs:
output:
type: string
reference: ${answer_the_question_with_context.output}
evaluation_only: false
is_chat_output: false
nodes:
- name: embed_the_question
type: python
source:
type: package
tool: promptflow.tools.embedding.embedding
inputs:
connection: oai-genomics-dev-eastus-001
deployment_name: text-embedding-ada-002_001
input: ${flow.question}
aggregation: false
use_variants: false
- name: search_question_from_faiss_index
type: python
source:
type: package
tool: promptflow_vectordb.tool.faiss_index_lookup.FaissIndexLookup.search
inputs:
path: azureml://subscriptions/716f8ad9-4f2d-48da-a905-eb77071da449/resourcegroups/rg-genomics-dev-eastus-001/workspaces/ml-genomics-dev-eastus-001/datastores/workspaceblobstore/paths/azureml/2cc7e647-0ad8-44da-b978-3a6ed5fde590/index/
top_k: 5
vector: ${embed_the_question.output}
use_variants: false
- name: generate_prompt_context
type: python
source:
type: code
path: generate_prompt_context.py
inputs:
search_result: ${search_question_from_faiss_index.output}
aggregation: false
use_variants: false
- name: Prompt_varients
use_variants: true
- name: answer_the_question_with_context
type: llm
source:
type: code
path: answer_the_question_with_context.jinja2
inputs:
deployment_name: gpt-35-turbo-001
temperature: 0
top_p: 1
stop: ""
max_tokens: 1000
presence_penalty: 0
frequency_penalty: 0
logit_bias: ""
prompt_text: ${Prompt_varients.output}
provider: AzureOpenAI
connection: oai-genomics-dev-eastus-001
api: chat
module: promptflow.tools.aoai
aggregation: false
use_variants: false
node_variants:
Prompt_varients:
default_variant_id: gpt_similarity
variants:
gpt_similarity:
node:
name: Prompt_varients
type: prompt
source:
type: code
path: Prompt_varients__gpt_similarity.jinja2
inputs:
contexts: ${generate_prompt_context.output}
question: ${flow.question}
aggregation: false
gpt_relevance:
node:
name: Prompt_varients
type: prompt
source:
type: code
path: Prompt_varients__gpt_relevance.jinja2
inputs:
contexts: ${generate_prompt_context.output}
question: ${flow.question}
aggregation: false
bert_f1:
node:
name: Prompt_varients
type: prompt
source:
type: code
path: Prompt_varients__bert_f1.jinja2
inputs:
contexts: ${generate_prompt_context.output}
question: ${flow.question}
aggregation: false
environment:
python_requirements_txt: requirements.txt