Phsycomindset Model Chatbot using LangChain

PsychoLLM is a Retrieval-Augmented Generation (RAG) system that utilizes a fine-tuned text generation model to deliver precise answers based on a curated dataset of psychological questions and answers

Features

• Dynamic Question Answering: Provides accurate answers to user queries based on a curated psychological dataset.
• Efficient Document Retrieval: Utilizes FAISS for quick and effective similarity search across a large number of documents.
• Contextual Understanding: Integrates Hugging Face embeddings to enhance comprehension of user queries.
• Customizable Output Length: Allows users to define the length of the generated response with the max_new_tokens parameter.
• Seamless Integration: Built with LangChain for smooth interactions and an enhanced user experience.
• Fine-tuned Text Generation Model: Employs a robust model specifically tuned for psychological content to ensure relevance and accuracy.

Prerequisites

• Python 3.x
• Hugging Face Datasets
• LangChain framework

Sample Output:

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Credits - parsi-ai-nlpclass/Psychology_RAG (for dataset)