What is Neura?

NEURA architecture is inspired by the intricate networks of neurons that power the human brain. Just like how NEURA connects all our services to create amazing customer support and sales agents

The Power of Specialized Multiple Agents, An Integrated Experience.

Neura AI harnesses the collective intelligence of multiple agents, specialized to execute various tasks with unprecedented precision.

As an advanced neural network, our AI navigates complex contexts with ease, offering:

  • Instant Customer Support: Immediate and accurate responses to your customers' questions

  • Intelligent Task Management: Automatic organization and tracking of projects and deadlines

  • Email Sales Automation: Personalized campaigns and optimized lead follow-up

NEURA AI offers a wide range of features that can be enabled or disabled based on your needs. Here’s a quick overview of what Neura AI is all about:

Key Backend Features:

  1. Multilingual Support

    • Support 50+ languages

    • Seamlessly interact in multiple languages

  2. NLP System

    • Comprehensive lexicon-based language processing

    • Advanced sentiment analysis capabilities

    • Intent detection and keyword extraction

    • Modular design for extensibility

  3. Intelligent Decision Making

    • RDA (Reasoning, Decision Making and Acting) agents for routing to the correct action and provide accurate responses

    • Ability to decide between actions or direct completions

  4. Context Management

    • Sophisticated RAG (Retrieval-Augmented Generation) system

    • Maintains conversation history and retrieves relevant context

    • Configurable context window limits and similarity thresholds

  5. Knowledge Base Integration

    • RAG system for external knowledge base querying

    • Customizable similarity thresholds and result limits

  6. Text-to-Speech and Speech-to-Text

    • Convert text responses to speech

    • Customizable language and model settings

  7. Image Processing with the best Models in the Market:

    • Image generation

    • Image vision to analyse images

    • Image search and replace functionality

    • Image-to-video conversion

    • Image style control

    • Background removal from images

  8. Document Handling

    • Support for document uploads and analysis

    • Text extraction and processing from various file types

  9. URL Processing

    • Ability to handle and process URLs within conversations

  10. Optional Error Handling and Notifications

    • Comprehensive error-catching and reporting

    • Optional email and Telegram notifications for critical errors

  11. Flexible Storage Options

    • Supabase integration for chat history and knowledge base storage

    • Azure Blob Storage for image uploads with fall-back to Digital Ocean Spaces

  12. Security Features

    • API key authentication

    • Middleware security layer

    • Configurable CORS settings

  13. Resource Management

    • Configurable CPU and memory limits for Docker container

  14. Additional Integration Capabilities:

    • Integrate with various platforms like Telegram, Discord, Slack, Zendesk, and more to enhance communication and support.

  15. Additional Customizable Solutions:

    • Offers tailored solutions for different use cases, such as managing negative sentiment on social media, supporting customer service, and more.

Scope and Goals

Neura AI is designed to be a comprehensive AI platform with a wide range of functionalities aimed at improving efficiency and user satisfaction. Our core objectives and scope include:

Core Objectives:

  • Enhanced User Interaction:

    • Deliver real-time, contextually aware responses that adapt to the flow of conversation, ensuring users feel understood and engaged.

  • Scalable AI Solutions:

    • Develop a modular and scalable architecture that can grow with user demands and integrate seamlessly with existing workflows.

  • Cost-Efficient Processing:

    • Implement advanced context summarization to reduce token usage and optimize processing costs, making AI services more affordable and accessible.

  • Robust Data Management:

    • Utilize a Retrieval Augmented Generation (RAG) system for efficient knowledge base and chat history retrieval, ensuring accurate and timely information delivery.

Leadership and Vision

  • Led by Adolfo Usier

  • Focus on AI & Machine Learning innovation

  • Emphasis on problem-solving and team diversity

Additionally to our leader Adolfo, we have a talented and diverse team behind Neura AI.

Use Cases:

  • Customer Support Agents:

    • Deploy AI agents to handle customer inquiries, provide feedback, and improve overall customer satisfaction.

  • Email Sales Management Agents :

    • Let our agents manage your campaign and frequently asked questions in your email inbox.

  • Task Management Agents:

    • Manage your tasks on Trello. Your notes on Google Keep? Events in your Calendar? Don't worry, Neura can handle it for you, speak by voice or just send a text message to Neura AI with our additional integration capabilities.

  • Customized AI Platforms

    • Get your own backend with any of our current features or additional builds.

Main Modules:

  • RDA (Reasoning, Decision Making and Acting) System

    • Core Components

      • act.rs: Handles action execution

      • decision_maker.rs: Core decision-making logic

      • decision_prompt.rs: Prompt generation for decisions

      • detect_repetition.rs: Repetition detection in interactions

      • determine_action.rs: Action determination logic

      • extract_action.rs: Action extraction from inputs

      • react_agent.rs: Main agent implementation

      • reason.rs: Reasoning engine

      • reasoning_prompt.rs: Prompt generation for reasoning

      • summarize.rs: Summary generation

      • mod.rs: Module organization

  • Lexicon Natural Language Processing

    • Keywords Processing

      • important_terms.rs: Key term extraction and analysis

    • Sentiment Analysis

      • sentiment_analysis.rs: Core sentiment analysis engine

      • analyze_sentiment.rs: Sentiment analysis implementation

    • Intent Detection

      • detect_intent.rs: User intent recognition

    • Lexicon System

      • lexicon.rs: Proprietary lexicon engine

  • Chat Completion

    • Main: Groq with Llama 3.3 70b Specdec - Main Module for chat completion

    • Fall-back 1 and Reasoning Duo: Groq with Llama 3.3 70b Versatile

    • Fall-back 2 in Case Groq Outaged: Claude Sonnet 3.5 20242022

  • Image Processing Suite

    • Control Style

      • stability_ai.rs: Stability AI integration

    • Diffusion Processing

      • flux-1.1-pro-ultra.rs: Main image gen module. Diffusion flux implementation

        • openai_dalle3.rs: DALL-E 3 integration (fall back)

    • Replicate Integration

      • flux_dev.rs: Development flux implementation

        • flux_pro.rs: Professional flux implementation

    • Inpainting

      • stability_ai.rs: Stability AI integration for inpainting

    • Motion Processing

      • stability_ai.rs: Stability AI integration for motion

    • Background Removal

      • stability_ai.rs: Stability AI integration

    • Search and Replace

      • stability_ai.rs: Stability AI integration

    • Vision Processing

      • claude_3_5_sonnet_20241022.rs: Claude integration

        • groq_2.rs & groq.rs: Groq AI integration (fall back 1)

        • openai_gpt4o.rs: GPT-4 Vision integration (fall back 2)

  • Multilingual Support

    • Note: Handled through AI service integration rather than specific modules

    • Supports 50+ languages through service providers

    • Seamless multilingual interaction

  • FAQ Knowledge Base Retrieval:

    • Data Embeddings: Transform FAQ content into embeddings using vectorization techniques.

    • Cosine Similarity: Match user queries with the most relevant FAQ entries.

    • Efficient Retrieval: Quickly fetch pertinent information from the knowledge base.

  • Chat History Retrieval for Context Handling:

    • Vector Embeddings: Store chat history as vector embeddings for efficient retrieval.

    • Cosine Similarity: Match current user inputs with relevant past interactions.

    • Context Summarization: Summarize previous exchanges to maintain continuity and relevance.

    • Token Limitation Management: Optimize token usage to manage AI token limitations cost-effectively.

  • RAG System:

    • Raw Data Sources: Utilize various raw data formats for input.

    • Information Extraction: Employ OCR, PDF data extraction, and web crawling.

    • Data Preparation and Embeddings: Process raw data into structured embeddings.

    • Vector Database: Store and index data for efficient retrieval.

    • Retrieval Tool and LLM: Fetch pertinent data and interpret it using the LLM.

    • Custom Dynamic Tool and Image Generation: Refine user prompts for image generation.

    • Mint NFT: Integrate with blockchain technology for NFT minting.

    • Image Generation: Display the final generated image.

---

Neura AI aims to set a new standard in interactive AI applications, offering a robust solution that bridges text and image generation with advanced retrieval and context management capabilities.

Last updated