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Symbiot - An Enterprise AI Assistant

Industry

Artificial Intelligence

STARTED IN

2023

ENDED IN

2024

COUNTRY

Germany

About a Project

This platform is uniquely designed and engineered to support both commercial off-the-shelf and popular open-source Models, alongside Database solutions, enabling the creation of a personalized ChatGPT experience. Whether you’re aiming to run it locally or host it on the cloud, Symbiot offers an intelligent chatting capability with any workspaces, documents you create and provide, without any compromises.

Problem Statement

  1. Integration Challenges:
    • Organizations encounter difficulties integrating Large Language Models (LLMs) and Database systems seamlessly.
    • Existing integration methods may be inadequate, hindering the efficient collaboration of these technologies.
  2. Ease of Use Issues:
    • Users face challenges in effectively utilizing LLMs and Database systems due to complexities in their operation.
    • The current user interfaces or interaction mechanisms may not be user-friendly, leading to a lack of adoption among potential users.
  3. Cost Inefficiency:
    • The implementation of LLMs and Database systems may incur high costs, impacting the overall cost efficiency of organizational operations.
    • Existing solutions may not provide a cost-effective approach, limiting the accessibility of these technologies for certain organizations.
  4. Flexibility Limitations:
    • Organizations find it challenging to tailor LLMs and Database systems to their specific needs and workflows.
    • The lack of flexibility in existing solutions restricts organizations from fully customizing these technologies according to their unique requirements.
  5. Holistic Approach Gap:
    • Current solutions fall short of offering a comprehensive, end-to-end approach to harnessing the power of LLMs and Database systems.
    • The absence of a holistic solution creates a gap between the potential benefits of these technologies and their practical implementation within organizational settings.
  6. Practical Implementation Barriers:
    • Despite the potential advantages of LLMs and Database systems, there are practical barriers preventing their seamless integration and use in everyday workflows.
    • Organizations encounter obstacles in translating the theoretical benefits of these technologies into practical, real-world applications.
  7. Need for a Full-Stack Solution:
    • The identified challenges underscore the pressing need for a comprehensive, full-stack solution that addresses integration, ease of use, cost efficiency, and flexibility issues.
    • Such a solution is essential to bridge the existing gap and enable organizations to fully unlock and leverage the true potential of Artificial Intelligence (AI) in their daily operations.

Features

  1. Multi-User Management and Permissions:
    • Symbiot is designed with collaboration in mind, featuring robust multi-user support and sophisticated permissioning systems.
    • The platform ensures seamless collaboration among team members, controlling access to documents and resources according to roles and needs.
  2. Customizable Chat Widget:
    • Enhance your website with Symbiot’s custom embeddable chat widget.
    • This feature enables direct integration of Symbiot’s capabilities into your digital presence, allowing visitors to engage with documents through an intuitive chat interface.
  3. Comprehensive Document Support:
    • Symbiot accommodates multiple document types, including PDF, TXT, DOCX, and more.
    • The platform’s versatility ensures easy integration and utilization of resources, regardless of their format.
  4. Simplified Document Management:
    • Manage documents within your vector database through a user-friendly interface.
    • Symbiot simplifies the document management process, making it accessible even to those with minimal technical expertise.
  5. Dual Chat Modes:
    • Symbiot offers two distinct chat modes to cater to different user needs.
    • Conversation Mode retains the context of previous interactions, allowing for a seamless ongoing dialogue.
    • Query Mode provides straightforward question-and-answer functionality, ideal for quick information retrieval from your documents.
  6. In-Chat Citations:
    • Symbiot supports in-chat citations, enabling users to trace the source of information provided during interactions.
    • This feature promotes transparency and trust in the information exchanged.
  7. Cloud Deployment Ready:
    • Symbiot is 100% prepared for cloud deployment, offering flexibility and scalability to meet your hosting preferences.
    • Whether opting for a local setup or leveraging cloud computing, Symbiot is fully equipped to accommodate your needs.
  8. Bring Your Own Model Model:
    • Embrace the flexibility of choosing the Model that best fits your requirements.
    • Symbiot’s “Bring Your Own Model” model allows for the integration of any Model or Vector Database of your choice, providing a truly customizable experience.
  9. Cost-Efficient Document Management:
    • Symbiot introduces highly efficient cost-saving measures for managing large documents.
    • Embedding and utilizing massive documents or transcripts become significantly more cost-effective, offering up to 90% savings compared to other document chatbot solutions.
  10. Developer API for Custom Integrations:
    • Symbiot extends its capabilities through a full Developer API, enabling custom integrations and extensions.
    • This feature allows developers to tailor Symbiot’s functionalities to specific project requirements, enhancing its versatility and applicability.

Tech Stack

Backend

Python

Node js

Frontend

React js

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Bootstrap

Database

Vector

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