Added pebblo safe rag demo using google drive , qdrant, hugging face and groq api

[gr8nishan]

Added Pebblo SafeRAG Demo Implementation

Overview

Implemented a secure Retrieval-Augmented Generation (RAG) demo that combines Pebblo's security features with modern open source tools like HuggingFace, Llama model using Groq, Qdrant, and Langchain

Key Components Added

1. Document Ingestion & Security

• Integrated Google Drive as document source
• Implemented PebbloSafeLoader for semantic filtering and access control
• Added identity-based access control for document retrieval

2. Vector Store & Embeddings

• Set up Qdrant vector database for efficient document storage and retrieval
• Integrated HuggingFace local embeddings for semantic search
• Implemented document chunking and vectorization pipeline

3. LLM Integration

• Added Groq API integration with Llama 3.3 model
• Implemented secure query processing
• Added semantic filtering for sensitive content

Technical Implementation

• Used LangChain for RAG pipeline orchestration
• Implemented local embedding generation for privacy
• Added interactive query interface
• Set up environment-based configuration

[srics]

LGTM