how to set qa_template for chat engine

kkapa.ai

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kkapa.ai

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To set a custom QA template for a chat engine in LlamaIndex, you need to define a custom prompt and pass it as an argument when creating the chat engine. However, the extracts provided do not contain specific examples of setting a QA template for a chat engine. They do contain examples of setting a QA template for a query engine, which might be similar.

Here is an example of how to set a custom QA template for a query engine:

Plain Text

from llama_index import Prompt, VectorStoreIndex, SimpleDirectoryReader

# load documents
documents = SimpleDirectoryReader('data').load_data()

# define custom Prompt
TEMPLATE_STR = (
    "We have provided context information below. \n"
    "---------------------\n"
    "{context_str}"
    "\n---------------------\n"
    "Given this information, please answer the question: {query_str}\n"
)
QA_TEMPLATE = Prompt(TEMPLATE_STR)

# Build index 
index = VectorStoreIndex.from_documents(documents)

# Configure query engine
query_engine = index.as_query_engine(text_qa_template=QA_TEMPLATE)

# Execute query
response = query_engine.query("What did the author do growing up?")
print(response)

(Source: Custom Prompts ())

For a chat engine, the process might be similar, but the exact method to set a QA template for a chat engine is not specified in the provided extracts. For more detailed information, you may want to refer to the LlamaIndex documentation ().
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LLogan M

You can just pass it in as a kwarg

index.as_chat_engine(text_qa_template=text_qa_template)

Keep in mind this is only applied to the underlying query engine, not the agent itself (its default to use an agent with a tool, unless you are changing chat_mode)

ttugay

@Logan M , i feel kind of embarrased to use your help in every single thing. Thank you very much

LLogan M

Hahaha no worries

LLogan M

I get paid to do it, don't worry 😄

ttugay

That's great, I feel relieved

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how to set qa_template for chat engine