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Oliva Multi-Agent Assistant


Introduction:

Oliva is a multi-agent assistant that uses Langchain and Superlinked to search for products in the Qdrant database.

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Oliva Multi-Agent Assistant

Oliva is a multi-agent assistant built on Langchain and Superlinked. It uses the Qdrant vector database for product search and satisfies user needs through collaboration among multiple agents. Its core is an agentic RAG (Retrieval-Augmented Generation) system. This means it combines information retrieval and generative models to enhance the quality of generated content by retrieving relevant information.

Core Features:

  • Multi-Agent Architecture: Composed of multiple independent agents, each responsible for specific tasks such as understanding user intent, searching for products, and generating responses.
  • Qdrant Vector Database: Uses Qdrant to store vector embeddings of product information, enabling efficient semantic search to find products most relevant to user queries.
  • Superlinked Framework: Implements AI applications using the Superlinked framework, providing powerful semantic search capabilities.
  • Voice Interaction: Supports voice input, converting speech to text via Deepgram and providing real-time voice communication functionality using Livekit.
  • Scalability: Modular design makes it easy to add new agents and features.
  • LangGraph Integration: Supports debugging and visualization using LangGraph Studio.

Use Cases:

Oliva is suitable for various scenarios requiring complex product searches and user interactions, such as:

  • E-commerce Platforms: Helps users quickly find desired products and provides personalized shopping recommendations.
  • Customer Service: Automatically answers user questions about products and provides technical support.
  • Smart Assistants: Acts as a personal assistant, helping users complete various tasks such as searching for information or booking flights.
  • Any scenario that requires understanding user intent and providing relevant information based on semantic search.

Technology Stack:

  • Langchain: LLM application framework
  • Livekit: Real-time voice communication platform
  • Qdrant: Vector database
  • Superlinked: Semantic search framework
  • Deepgram: Speech-to-text service
  • OpenAI: LLM provider
  • Python: Core implementation language

Summary:

Oliva Multi-Agent Assistant is a powerful tool that helps developers build intelligent and efficient AI assistants. By combining multi-agent architecture, semantic search, and voice interaction functions, Oliva can provide excellent user experiences in various scenarios.