Langchain sql database get table info. Documentation for LangChain.

Langchain sql database get table info. sql_database. If sample_rows_in_table_info, the specified number of sample rows will be appended to each table description. jsSecurity Security Notice This class generates SQL queries for the given database. The SQLDatabase class provides a get_table_info method that can be The SQLDatabase class provides a get_table_info method that can be used to get column information as well as sample data from the table. This can increase performance as demonstrated in the paper. If you encounter an issue with Unknown column 'xxxx' in 'field list', use sql_db_schema to query the correct table fields. get_table_info () method generates and send the SQL DML string such as the one below, this query returns a list of tables belonging to the "public" schema. """SQLAlchemy wrapper around a database. Sep 5, 2024 · In this post I want to explore how one might go about prompt engineering to retrieve more accurate results incorporating a local SQL database, return a SQL how to use LangChain to talk to a local database and return not just a SQL query, but also get the model to run the SQL query and return the answer in text form. utilities. We'll largely focus on methods for getting relevant database-specific information in your prompt. For detailed documentation of all SQLDatabaseToolkit features and configurations head to the API reference. *Security Note*: This chain generates SQL queries for the given database. This will help you get started with the SQL Database toolkit. To mitigate risk of leaking sensitive data, limit permissions to read and scope to the tables that are needed. sql Chinook Database for SQLite: Chinook_Sqlite. Optionally, use the includesTables or In order to write valid queries against a database, we need to feed the model the table names, table schemas, and feature values for it to query over. engine import URL In this guide we'll go over prompting strategies to improve SQL query generation. Optionally, use the SQLInputWithTables input type to specify which tables are allowed to be accessed. class SQLDatabase: """SQLAlchemy wrapper around a database. """ from __future__ import annotations from typing import Any, Dict, Iterable, List, Literal, Optional, Sequence, Union import sqlalchemy from langchain_core. This means you can customize it as needed for your specific use case [1] [2] [3]. The SQLDatabase class provides a getTableInfo method that can be used to get column information as well as sample data from the table. Parameters: table_names (List[str] | None) – Return type: str get_table_names() → Iterable[str] [source] # Dec 9, 2024 · """SQLAlchemy wrapper around a database. engine import URL, Engine Dec 9, 2024 · The SQLDatabase class provides a get_table_info method that can be used to get column information as well as sample data from the table. SQLDatabase object at 0x10d5f9120>), Dec 9, 2024 · [docs] def create_sql_query_chain( llm: BaseLanguageModel, db: SQLDatabase, prompt: Optional[BasePromptTemplate] = None, k: int = 5, ) -> Runnable[Union[SQLInput, SQLInputWithTables, Dict[str, Any]], str]: """Create a chain that generates SQL queries. _api import deprecated from langchain_core. """ from __future__ import annotations import re from typing import Any, Dict, Iterable, List, Literal, Optional, Sequence, Union import sqlalchemy from langchain_core. . get_table_info method in LangChain generates and executes multiple SQL queries based on the tables present in the database. ", db=<langchain_community. Jun 15, 2023 · The LLM was not given the information needed to use the table, which resulted it running the incorrect sql query. SQLDatabase. Lastly, the response time of the LLM should be considered as a factor as well. When there are many tables, columns, and/or high-cardinality columns, it becomes impossible for us to dump the full information about our database in every prompt. For each table, it generates a CREATE TABLE SQL command to provide a representation of the table structure. Additionally, you can see from the get_table_info method in the LangChain framework that the table_info attribute is used to store the schema information of the tables. """ def __init__( self, engine: Engine, schema: Optional[str] = None, metadata: Optional[MetaData] = None, ignore_tables: Optional[List[str]] = None, include_tables: Optional[List[str]] = None, sample_rows_in_table_info: int = 3, indexes_in_table_info: bool = False, custom_table_info Oct 19, 2024 · The langchain_community. Documentation for LangChain. Nov 30, 2023 · The SQLDatabase. To continue talking to Dosu, mention @dosu. Jun 11, 2024 · This will override the table_info attribute with the new string you provide. Dec 9, 2024 · If sample_rows_in_table_info, the specified number of sample rows will be appended to each table description. utils import get_from_env from sqlalchemy import ( MetaData, Table, create_engine, inspect, select, text, ) from sqlalchemy. Instead, we must find ways to dynamically insert into the prompt only the most Feb 22, 2024 · Introduction # :bulb: Quick Links: Chinook Database for MySQL: Chinook_MySql. sql In this tutorial, we will learn how to chat with a MySQL (or SQLite) database using Python and LangChain. Apr 28, 2025 · The SQL Database Utility provides a standardized interface for accessing various SQL database systems, enabling LangChain agents to query, retrieve schema information, and interact with databases in a consistent manner regardless of the underlying database technology. nvwxces wjntdwf nuvd fmod fgppe bdoh iiyycaz ejbwwok grlpd sphnw