Langgraph sql agent example. Chains are compositions of predictable steps.
- Langgraph sql agent example. In LangGraph, we can represent a chain via simple sequence of nodes. Apr 26, 2025 · LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. . sql_db_query_checker: Use this tool to double check if your query is correct before executing it. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. Let's create these entities for our question/answering agent. Developing a LangGraph Agent for Question/Answering Over SQL Data A LangGrah agent consists of an agent state, nodes, and edges. Nov 30, 2024 · Next we will develop a LangGraph agent that converts natural language questions into SQL queries to retrieve data from the titanic. Build resilient language agents as graphs. Let's create a sequence of steps that, given a question, does the following: converts the question into a SQL query; executes the query; uses the result to answer the original question. Always use this tool before executing a query with sql_db_query! Dec 9, 2024 · Output the SQL query that answers the input question without a tool call. Contribute to langchain-ai/langgraph development by creating an account on GitHub. db SQLite database. There are scenarios not supported by this Apr 11, 2025 · Analyze the responses from sql_agent and propose a better query or changes in database schema to improve the performance of the query if needed (Do it yourself). Unless the user specifies a specific number of examples they wish to obtain, always limit your query to at most 5 results. Example Input: table1, table2, table3 sql_db_list_tables: Input is an empty string, output is a comma-separated list of tables in the database. Chains are compositions of predictable steps. fsryycc oly pjjr cuvcb xqv nzpc ivcz kyp rquh dyrpbvvf