Project: Integrating Pinecone and LLaMA 3 for Contextual Query Response

Overview

This project integrates Pinecone for vector search with LLaMA 3 to provide contextual responses based on Thirukkural teachings. The system uses SentenceTransformer to encode user queries, queries Pinecone for relevant metadata, and generates responses using LLaMA 3.

Features

• Query Encoding: Uses SentenceTransformer to convert user queries into vectors.
• Vector Search: Queries Pinecone to retrieve relevant metadata based on encoded vectors.
• Contextual Responses: Uses LLaMA 3 to generate empathetic responses based on Thirukkural couplets.
• Tanglish Responses: Provides responses in a Tanglish style, emulating a Tamil boy speaking on social media.

Screenshots