Building AI Customer Support with PII data Protection using Langchain

I recently tackled a challenge that I think a lot of us face: building a chatbot that can handle customer support queries without compromising user privacy.

Creating a chatbot that can understand and respond to user queries while also protecting Personally Identifiable Information (PII). It’s a trickier balance than you might expect!

My Solution: I built a chatbot using LangChain with some extra security features. Here’s what it can do:

Detect PII in user input (emails, phone numbers, etc.) Block processing of sensitive data Provide helpful responses without exposing private info

I’ve created a full tutorial with code examples in this Collab notebook: https://git.new/langhchainPII

Here’s a snippet of how I set it up:

portkey_config = {

“after_request_hooks”: [

{

“id”: “your-config-id-here”

}

]

}

llm = ChatOpenAI(

base_url=PORTKEY_GATEWAY_URL,

model=”gpt-3.5-turbo”,

default_headers=createHeaders(

provider=”openai”,

api_key=”Your_API_Key”,

config=portkey_config,

)

)

“`

The bot successfully blocks PII from being processed or repeated back It maintains natural conversation flow while prioritizing data security Performance impact is minimal – you can have security without sacrificing speed

You can run it locally or in Colab to see the PII protection in action. I would love to know your feedback