Building Your Own ChatGPT: A Cost-Effective Guide to Creating a Custom Chatbot

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Overview

The Chatbot Application powered by Langchain and Google Palm LLM is a versatile tool designed to enhance knowledge assistance within our organization. This powerful language model enables intelligent question-answering capabilities, making it a valuable asset for various applications.

Key Applications

1. Website FAQ Page

Our organization’s website FAQ page is an ideal location to deploy the Chatbot. Users visiting the FAQ section can interact with the chatbot to quickly find answers to common questions. This improves user experience and reduces the burden on human support staff.

2. Career Page

Integrate the Chatbot into our Career Page to provide instant responses to questions related to job opportunities, application processes, and general inquiries. This ensures that potential candidates receive timely information, contributing to a positive candidate experience.

3. Internal Knowledge Base

Train the model on our organization’s technical documents, developer FAQs, and internal knowledge base. This empowers the chatbot with the ability to answer specific queries related to our products, services, and internal processes. Employees can utilize the chatbot for quick access to relevant information.

4. Streamlined Customer Support

Implement the chatbot in customer support channels, such as email or Discord servers, to assist users with product-related queries. The chatbot can provide immediate responses, troubleshoot common issues, and guide users through solutions, ultimately improving customer satisfaction.

Benefits

• Efficiency: The chatbot reduces the workload on human support teams by handling routine queries, allowing them to focus on more complex issues.
• 24/7 Availability: Users can access information and support at any time, enhancing the availability of assistance.
• Consistent Responses: The chatbot ensures consistent and accurate responses, maintaining a high standard of information delivery.
• Customizable Training: The model can be trained on specific datasets, tailoring its knowledge to our organization’s unique needs.

Getting Started

1. Clone the Repository:

   git clone https://github.com/msrajawat298/llm_by_Msrajawat298

2. Navigate to the Project Directory:

   cd llm_by_Msrajawat298

3. Install Dependencies:

   docker compose up -d

4. Acquire API Key:
   Obtain a Google API key through makersuite.google.com and update the .env file.
   
5. Run the Application:

   streamlit run main.py

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Security Measures

Ensuring the security of user data is a top priority. Unlike external chatbot services such as ChatGPT or BERT, our custom model has been designed with data privacy in mind. Here’s how we address security concerns:

1. On-Premises Data Storage

All interactions and data handled by the chatbot are stored exclusively on our organization’s machines. This on-premises data storage approach eliminates the risk of data leaks to third-party servers, providing a higher level of control and security.

2. No External Data Transmission

Our chatbot does not transmit any user data to external servers or cloud platforms. This means that sensitive information shared during interactions remains within the secure confines of our organization’s infrastructure.

3. Data Encryption

Any data stored on our organization’s machines is encrypted to further safeguard against unauthorized access. This encryption ensures that even in the unlikely event of a security breach, the stored data remains protected.

4. Compliance with Data Protection Regulations

Our chatbot application adheres to relevant data protection regulations, ensuring that user privacy is maintained in accordance with legal requirements. This includes compliance with standards such as GDPR, HIPAA, or any other applicable regulations.

Your Data, Your Control

We understand the importance of safeguarding user data, and our commitment to security is reflected in the design and implementation of our custom chatbot solution. By keeping data storage and processing within our organization’s infrastructure, we prioritize user privacy and maintain control over sensitive information.

Conclusion

The Chatbot Application offers a seamless way to enhance knowledge accessibility across various touchpoints. Whether used on our website, in career-related interactions, or for internal knowledge sharing, the chatbot is a valuable tool for improving information retrieval and customer/user satisfaction.