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faq_query.flow.yaml
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faq_query.flow.yaml
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name: faq_query
type: serial
description: FAQ-based Question Answering query flow.
input:
schema:
input:
type: object
required:
- query
properties:
query:
type: string
description: The user's query.
output:
type: object
properties:
content:
type: string
description: The assistant's reply.
tasks:
- name: calculate_embedding
type: call
input:
loader: llmflow
task: embedding_openai
input:
texts:
- ${input.query}
- name: query_documents
type: vectorstore_query
input:
min_score: 0.7
top_k: 3
vector: ${calculate_embedding.embeddings[0]}
vendor: memory
- name: similar_documents
type: decision
input:
expression: ${str(len(query_documents.similarities))}
cases:
"0":
name: sorry
type: terminate
input:
output:
content: 对不起,我不知道。
default:
name: switch
type: serial
input:
tasks:
- name: build_prompt
type: template
input:
args:
query: ${input.query}
documents: ${query_documents.similarities}
template: |-
Answer the question using the provided context.
Context:
{{- range $.documents}}
{{- $extra := jsonUnmarshal .extra}}
Q: {{.text}}
A: {{$extra.答}}
{{- end}}
Q: {{$.query}}
A:
- name: ask_llm
type: call
input:
loader: llmflow
task: llm_openai
input:
messages:
- role: user
content: ${build_prompt.result}