How to build a LangChain agents that can interact with data from a postgresql database in the django rest framework backend

[Asiwaju404]

How to build a LangChain agents that can interact with data from a postgresql database of an HR systems. The LangChain agents will interact with data from the database when queried. I will be using django rest framework for Post and get requests when a user query a search and the LangChain agents will retrieve knowledge from the database.

[dosubot[bot]]

🤖

Hello,

Based on your request, you want to build a LangChain agent that can interact with a PostgreSQL database of an HR system using Django REST Framework for POST and GET requests. Here's how you can achieve this:

Firstly, you need to connect LangChain to your PostgreSQL database. You can do this by creating an instance of the SQLDatabase class with the appropriate connection parameters for your PostgreSQL database. Then, you can use this SQLDatabase instance to create an SQLDatabaseChain instance. Here's an example:

from langchain.llms import OpenAI
from langchain_experimental.sql import SQLDatabaseChain
from langchain.utilities.sql_database import SQLDatabase

# Create a SQLDatabase instance
db = SQLDatabase(
    dialect='postgresql',  # The dialect for PostgreSQL
    username='<username>',  # Your PostgreSQL username
    password='<password>',  # Your PostgreSQL password
    host='<host>',  # The host of your PostgreSQL server
    port='<port>',  # The port of your PostgreSQL server
    database='<database>',  # The name of your PostgreSQL database
)

# Create a SQLDatabaseChain instance
db_chain = SQLDatabaseChain.from_llm(OpenAI(), db)

Please replace <username>, <password>, <host>, <port>, and <database> with your actual PostgreSQL connection parameters.

The SQLDatabaseChain instance (db_chain in this example) can then be used to interact with your PostgreSQL database using LangChain.

Next, you need to integrate LangChain with Django REST Framework to handle POST and GET requests. While there's no direct documentation on this within the LangChain repository, you can achieve this by creating a Django view that uses the SQLDatabaseChain instance to interact with the database based on the received POST or GET request. Here's a basic example:

from django.http import JsonResponse
from django.views import View
from .langchain_setup import db_chain  # Assuming you have set up LangChain in langchain_setup.py

class LangChainView(View):
    def get(self, request, *args, **kwargs):
        query = request.GET.get('query')
        result = db_chain.query(query)
        return JsonResponse(result)

    def post(self, request, *args, **kwargs):
        query = request.POST.get('query')
        result = db_chain.query(query)
        return JsonResponse(result)

In this example, the get and post methods of the LangChainView class receive a query from the request, use the SQLDatabaseChain instance (db_chain) to query the database, and return the result as a JSON response.

Please note that this is a basic example and you might need to adjust it based on your specific requirements and setup.

I hope this helps! If you have any further questions, feel free to ask.

Sources

• libs/experimental/langchain_experimental/sql/base.py

---

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.