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LangChainframework~30 mins

Loading from databases in LangChain - Mini Project: Build & Apply

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Loading Data from a Database with LangChain
📖 Scenario: You are building a simple app that fetches data from a database to use with LangChain. This helps you get information ready for your language model to understand.
🎯 Goal: Learn how to connect to a database, configure a query, load data using LangChain's database loader, and prepare it for further processing.
📋 What You'll Learn
Create a database connection string variable
Set up a SQL query string variable
Use LangChain's SQLDatabase and SQLDatabaseChain to load data
Complete the setup to run the database query and load results
💡 Why This Matters
🌍 Real World
Loading data from databases is common when building apps that use language models to understand or analyze real data stored in databases.
💼 Career
Many jobs require connecting language models to databases to automate data retrieval, reporting, or building intelligent assistants.
Progress0 / 4 steps
1
Create the database connection string
Create a variable called connection_string and set it to the exact value "sqlite:///example.db".
LangChain
Need a hint?

This string tells LangChain where your database is located. Use the exact text including quotes.

2
Set up the SQL query string
Create a variable called query and set it to the exact SQL query string "SELECT * FROM users".
LangChain
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This query will select all data from the users table in your database.

3
Load data using LangChain's SQLDatabase
Import SQLDatabase from langchain_sql_database and create a variable called db by calling SQLDatabase.from_uri(connection_string).
LangChain
Need a hint?

Use the exact import and method call to create the database object.

4
Create the SQLDatabaseChain and run the query
Import SQLDatabaseChain from langchain_chains. Then create a variable called db_chain by calling SQLDatabaseChain(database=db, query=query).
LangChain
Need a hint?

This sets up the chain that will run your SQL query using LangChain.