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LLM

🛠 Tech Stack

  • Language: Python
  • Web Framework: Streamlit (for building data applications)
  • LLM Orchestration: LangChain
  • Backend & Auth: FastAPI, Service Authentication, OAuth Authentication

🧠 LLM & Vector Database Integrations Models

  • OpenAI: GPT-3.5 Turbo, GPT-4, Whisper
  • Open Source & Others: Mistral-7B (Hugging Face), Amazon Bedrock Vector Stores
  • FAISS, Pinecone

⚡ Core Features (LangChain & RAG)

  • Prompt Engineering: Prompt Templates, Output Parsers
  • Data Pipeline: Document Loaders, Text Splitters, Text Embeddings
  • Memory & Chains: LLM Chains, Chat Memory management
  • Advanced RAG: Retrieval Augmented Generation, Retrieval Plugins, ChatGPT Plugin integration

🚀 Projects (Applications)

  • DocumentGPT: Chat with your documents using RAG.
  • PrivateGPT: Secure, local-first LLM implementation.
  • QuizGPT: Automated quiz generation from provided content.
  • SiteGPT: AI assistant trained on specific website data.
  • MeetingGPT: Meeting summarization and analysis tool.
  • InvestorGPT: Financial data analysis and investment insights.

⚙️ Requirements & Setup Environment Variables: A .env file is required with the following keys:

  • OPENAI_API_KEY
  • LANGCHAIN_API_KEY

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A comprehensive LLM ecosystem featuring RAG-based applications and advanced LangChain orchestrations.

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