This project is an automated phone system designed to streamline and automate the process of handling customer inquiries about a specific product. It utilizes cutting-edge technologies to convert incoming voice calls into text, process the text using an AI language model (LLM), retrieve relevant information about the product from a vector database, generate a response, and convert it back into speech to play to the customer.
- Voice-to-Text Conversion: Converts incoming voice calls into text in real-time.
- AI Language Model (LLM): Processes the transcribed text to understand customer inquiries.
- Vector Database: Stores information about the specific product. Provides relevant data to the LLM for generating responses.
- LangChain Framework: Powers the LLM and facilitates its interaction with the vector database. Framework for developing applications powered by language models.
- Response Generation and Speech Synthesis: Generates a response based on the customer inquiry using LangChain. Converts the response back into speech using AI Eleven labs API.
- When a customer calls, the voice is transcribed into text in real-time.
- The transcribed text is fed into the AI language model (LLM) for processing.
- The LLM retrieves relevant information about the product from the vector database.
- Using the LangChain framework, the LLM generates a response based on the inquiry.
- The response is converted back into speech using AI Eleven labs API.
- Enables efficient and accurate handling of customer inquiries.
- Reduces the need for human intervention, leading to cost savings and improved scalability.
- Clone this repository to your local machine.
- Install the necessary dependencies.
- Configure the API keys and connection settings for LangChain and AI Eleven labs API.
- Deploy the system to your preferred hosting environment.
- Ensure proper integration with your phone system.
- Ensure the system is running and properly configured.
- Customers can call the designated phone number to inquire about the product.
- The system will handle the inquiry automatically and provide a response in voice.