Querying SQL Database Using Natural Language with LangChain, SQL Agents, and OpenAI LLMs | Code
Learn how to query a SQL database using natural language with LangChain, SQL Agents, and OpenAI LLMs in this Code tutorial.
00:00:00 Learn about LangChain and SQL Agents and how they use large language models to perform tasks. See how to query a SQL database using natural language.
🤖 LangChain agents are intelligent programs that use large language models to perform tasks.
🔧 Tools are programs that assist LangChain agents in performing specific tasks, such as searching on Google or connecting to a database.
🧪 In a specific example, a LangChain agent utilizes the serp API, a Google search API, and the SQL database agent to query a relational database using natural language.
00:03:01 LangChain, SQL Agents & OpenAI LLMs: Query Database Using Natural Language. Use tools and a language model to fulfill a task, such as finding Leo DiCaprio's girlfriend and calculating her age.
🔑 A task is given to an agent to find out Leo DiCaprio's girlfriend and calculate her current age raised to a certain power.
🧰 The agent has access to the surf API, math tools, and a large language model like OpenAI.
🔍 The agent uses the Google search API tool and the mathematical tool to fulfill the task and provide the answer.
00:06:00 Learn how the LangChain and SQL Agents work together to query a database using natural language. Discover the power of chaining actions and get introduced to the SQL database agent.
🔍 The agent uses natural language to search for information and perform calculations.
⚙️ The agent decides which tools to use based on the task and tool descriptions.
💡 The agent can recover from errors while searching and performs actions in a specific sequence.
💻 The SQL database agent connects to an SQL database and answers natural language queries.
00:09:01 Learn how to query a SQL database using natural language with LangChain, SQL Agents, and OpenAI LLMs in this Code tutorial.
🔎 There is a specialized agent for SQL database related tasks called a toolkit.
💻 To connect to a database, you need to provide the username, password, host name, and database name.
🧠 Different language models can be used, such as GPT 3, for query generation on top of the database.
00:11:59 Learn how to use LangChain, SQL Agents, and OpenAI LLMs to query a database using natural language. Discover how to describe order-related tables and find the relationship between them.
📊 The video demonstrates how to query a database using natural language and a large language model.
💻 A SQL agent is created to execute tasks related to the database, such as describing tables and finding relationships.
❌ If an incorrect table name is provided, an error occurs during the querying process.
00:14:59 This video explores the use of LangChain, SQL Agents, and OpenAI LLMs to query databases using natural language. Discusses the power of Agents to correct SQL queries and showcases an example of finding the top five products with the highest total sales and revenue.
💡 Agents can correct themselves by observing errors in SQL queries.
🔍 Agents have the ability to think and make intelligent decisions based on observations.
📊 Agents can generate meaningful SQL queries by analyzing tables and performing calculations.
00:18:01 Learn how to query a database using natural language. Connect your database, run queries, and get results in a human understandable manner.
🔑 Using LangChain and SQL Agents, it is possible to query a database using natural language without the need for training data.
🔍 The agents can understand and interpret table names to narrow down the search and determine the appropriate schema.
💡 By experimenting and learning about agent functionality, it is possible to create custom agents for interacting with databases.
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