Working methodologies in vector query #12072
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Hey there, @PradiptaAtByteIQMind-Graph2023! Good to see you diving into another intriguing topic. In the context of vector search, the intermediate query string is formed through a process that involves translating an original question into a SQL query, executing the SQL query to get a response, and then transforming that SQL query and response into a vector store query. This process is facilitated by the use of a synthesis prompt template, specifically Here is the synthesis prompt template used for forming the intermediate query string: DEFAULT_SQL_VECTOR_SYNTHESIS_PROMPT_TMPL = """
The original question is given below.
This question has been translated into a SQL query. \
Both the SQL query and the response are given below.
Given the SQL response, the question has also been translated into a vector store query.
The vector store query and response is given below.
Given SQL query, SQL response, transformed vector store query, and vector store \
response, please synthesize a response to the original question.
Original question: {query_str}
SQL query: {sql_query_str}
SQL response: {sql_response_str}
Transformed vector store query: {query_engine_query_str}
Vector store response: {query_engine_response_str}
Response:
""" This template is then instantiated as You can find more details about this process in the SQLAutoVectorQueryEngine class in the LlamaIndex codebase. This class is designed to query both a SQL database and a vector database, deciding whether to query the SQL database or the vector store and, if querying the SQL database, whether to augment the information with results from the vector store using the I hope this explanation helps! If you have any more questions or need further clarification, feel free to ask. Sources
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Hi
How in case of vector search the intermediate query string is getting formed in case of autovector query engine or any other query engine for vector search? Please explain briefly
Thanks
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