Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • HACKING
  • SLOT
  • CASINO
  • SUBMIT
Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • HACKING
  • SLOT
  • CASINO
  • SUBMIT
Crypto Flexs
Home»ADOPTION NEWS»Enhancing LLM Application Safety with LangChain Templates and NVIDIA NeMo Guardrails
ADOPTION NEWS

Enhancing LLM Application Safety with LangChain Templates and NVIDIA NeMo Guardrails

By Crypto FlexsJune 2, 20243 Mins Read
Facebook Twitter Pinterest LinkedIn Tumblr Email
Enhancing LLM Application Safety with LangChain Templates and NVIDIA NeMo Guardrails
Share
Facebook Twitter LinkedIn Pinterest Email





According to the NVIDIA Technology Blog, developers looking to deploy Large Language Model (LLM) applications more securely and faster now have a powerful solution with LangChain templates and NVIDIA NeMo Guardrails.

Benefits of Integrating NeMo Guardrails with LangChain Templates

LangChain templates provide developers with new ways to create, share, maintain, download, and customize LLM-based agents and chains. Using these templates, you can quickly create production-ready applications by leveraging FastAPI for seamless API development in Python. NVIDIA NeMo Guardrails can be integrated into these templates to provide content moderation, enhanced security, and LLM response evaluation.

As generative AI continues to evolve, incorporating guardrails will ensure that LLMs used in enterprise applications remain accurate, secure, and contextually relevant. The NeMo Guardrails platform provides programmable rules and runtime integration to control user input and validate the final LLM output before engaging in the LLM.

Use case setup

To demonstrate the integration, the blog post explores a Retrieval-Augmented Generation (RAG) use case using an existing LangChain template. This process involves downloading a template, modifying it to fit your specific use case, and then deploying the application with added guardrails to ensure security and correctness.

LLM guardrails help minimize hallucinations and maintain data security by implementing input and output self-inspection rails that obscure sensitive data or alter user input. For example, conversation rails can affect how an LLM responds, and search rails can obscure sensitive data in a RAG application.

Download and customize LangChain templates

To get started, developers need to install the LangChain CLI and the LangChain NVIDIA AI Foundation Endpoints package. You can download and customize the template by creating a new application project.

pip install -U langchain-cli
pip install -U langchain_nvidia_aiplay
langchain app nvidia_rag_guardrails --package nvidia-rag-canonical

The downloaded template sets up an ingestion pipeline for the Milvus vector database. In this example, the dataset contains sensitive information about Social Security benefits, making guardrail integration important for a secure response.

NeMo Guardrail Integration

To integrate NeMo Guardrails, developers must Handrail Configure the following required files: config.yml, disallowed.co, general.coand prompts.yml. These configurations define guardrail flows that control the chatbot’s behavior and ensure that it adheres to predefined rules.

For example, a disallowed flow can prevent a chatbot from responding to incorrect information, while a regular flow can define acceptable topics. Self-checking of user input and LLM output is also implemented to prevent cybersecurity attacks such as rapid injection.

Activate and use templates

To enable guardrails, developers must config.yml Create a file and set up your server for API access. The following code snippet shows how to integrate guardrails and set up a server.

from nvidia_guardrails_with_RAG import chain_with_guardrails as nvidia_guardrails_with_RAG_chain
add_routes(app, nvidia_guardrails_with_RAG_chain, path="/nvidia-guardrails-with-RAG")
from nvidia_guardrails_with_RAG import ingest as nvidia_guardrails_ingest
add_routes(app, nvidia_guardrails_ingest, path="/nvidia-rag-ingest")

Developers can then spin up a LangServe instance using the following command:

langchain serve

Examples of safe LLM interactions include:

"Question": "How many Americans receive Social Security Benefits?" 
"Answer": "According to the Social Security Administration, about 65 million Americans receive Social Security benefits."

conclusion

The integration of NeMo Guardrails with LangChain templates demonstrates a powerful approach to creating more secure LLM applications. By adding security measures and ensuring accurate responses, developers can build trustworthy and secure AI applications.

Image source: Shutterstock

. . .

tag


Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

Related Posts

Ether Lee (ETH) tests major support for $ 4,453 after the highest rejection.

August 31, 2025

Bitcoin analysts bet on $ 200K after hints of Fed.

August 23, 2025

‘Self -transactions, dressed in capital layout’: The cryptocurrency financial craze divides the industry.

August 15, 2025
Add A Comment

Comments are closed.

Recent Posts

The Senate encryption bill adds a provision for treating tokenized stocks as securities.

September 7, 2025

If this trend is owned, the XRP price is $ 3.4 and you can see 20% bounce.

September 6, 2025

GBC Mining Launches Scalable Cloud Mining Plans, Enabling Passive Income For Global Crypto Enthusiasts

September 6, 2025

The 320K holder of the WAVERS & Cardano Price Surges Surges BlockDag signals the next large encryption.

September 6, 2025

RLUSD Stablecoin is extended to Africa to supply power to the border between the border.

September 5, 2025

Bybit Establishes New B2B Unit To Drive Institutional Adoption Of Digital Assets

September 5, 2025

Lowkick Studio Launches $SHARDS Token On Top Tier Exchanges For WorldShards MMORPG

September 5, 2025

The cryptocurrency is falling when the tokens and stocks connected to Trump are under pressure.

September 5, 2025

Cango Inc. Reports Second Quarter 2025 Unaudited Financial Results

September 5, 2025

Coindesk July 2025 Report: Stablecoins and CBDC

September 5, 2025

NOWPayments To Participate In SiGMA Europe Rome 2025

September 4, 2025

Crypto Flexs is a Professional Cryptocurrency News Platform. Here we will provide you only interesting content, which you will like very much. We’re dedicated to providing you the best of Cryptocurrency. We hope you enjoy our Cryptocurrency News as much as we enjoy offering them to you.

Contact Us : Partner(@)Cryptoflexs.com

Top Insights

The Senate encryption bill adds a provision for treating tokenized stocks as securities.

September 7, 2025

If this trend is owned, the XRP price is $ 3.4 and you can see 20% bounce.

September 6, 2025

GBC Mining Launches Scalable Cloud Mining Plans, Enabling Passive Income For Global Crypto Enthusiasts

September 6, 2025
Most Popular

As Mena leads the Global Crypto Growth, Dubai hosts the second edition of the Middle East Blockchain Awards

February 6, 2025

What is BLAST? – Bitfinex Blog

June 28, 2024

Understanding blockchain elasticity: More than 51% attack

March 2, 2025
  • Home
  • About Us
  • Contact Us
  • Disclaimer
  • Privacy Policy
  • Terms and Conditions
© 2025 Crypto Flexs

Type above and press Enter to search. Press Esc to cancel.