Horizon Veritas is a Proof-Of-Concept, showcasing the potential of a perfect blend of chat and browsing. Positioned at the bottom of your screen, it provides semantic search and semantic-based actions. Horizon Veritas caches web page content and their respective embeddings. Upon a user's query, it performs:

• Retrieval-Augmented-Generation (RAG): Providing answers with enhanced context.
• Intent Extraction: Identifying user intent through vector embedding similarity, allowing for various actions like selection, filtering, and more.

Technologies Used:

• Frontend: Chrome Extension built with ReactJS.
• Middleware: Python, WebSocket.
• Backend: Large Language Models (LLMs), including ADA-002 Embeddings Model, GPT 3.5 Turbo 4K, 16K, GPT 3.5 Turbo Instruct, GPT Function Calling, and Python.
• Databases: Pinecone Vector Database for efficient embedding search.

Submission Link: https://devpost.com/software/horizon-veritas