AI Assistant Quick Start Service

Everything you need to build and deploy production-ready AI Assistant Applications.

The AI Assistant Quick Start is a consulting service designed to bridge the gap between experimentation and building production-ready AI assistant applications. Built on the robust foundation of PrivateGPT, this comprehensive platform enables rapid development and deployment of scalable AI assistant solutions with a strong emphasis on privacy, accuracy, and performance.

In just a few weeks, we will configure a development platform for building your AI Assistants, setup your GitHub repository for CI/CD pipelines, and deploy a web-based demo of AI Assistant to your AWS account. You can use open source frameworks to extend the demo and build your own chat assistants, bots, RAG applications, AI powered API’s, autonomous agents, and more. You can avoid spending months on building MLOps platforms from scratch. AI Assistant Quick Start provides everything you need to build, train, fine-tune, and deploy GenAI-based solutions.

The most common task for AI Assistants is to analyze existing documents and generate new text via chat interface. In addition, AI Assistants can perform various tasks via external API calling - like chat with your database data, create records, or make/change a reservation. Because AI assistants are available via secure APIs, it is also possible to chat with AI Assistant from Slack using Slack App integration approach.

How AI Assistants Work

How AI assistants work

Key Features

  1. Context-Aware Chat Interfaces: Utilize corporate data for highly accurate responses and recommendations.

  2. Multi-LLM Support: Integrate with various language models, including OpenAI GPT, Azure OpenAI, Claude, Gemini, Mistral, and Llama2.

  3. Privacy-First Design: Ensure all data remains within your private environment, maintaining confidentiality when using Azure OpenAI or other models.

  4. Comprehensive API: Access both high-level and low-level primitives via REST API for building context-aware AI applications.

  5. Multimodal Ingestion: Process a wide array of file formats, including .txt, .pdf, .doc, .png, .xls, and more.

  6. Advanced Search Capabilities: Utilize hybrid search combining semantic and keyword techniques with reranking for superior relevancy.

  7. User Management: Efficiently handle users, workspaces, and permissions with milti-tenancy support for multi-tenant SaaS applications.

  8. Scalable Architecture: Leverage a scalable architecture with autoscaling ECS clusters, managed databases, object storage, disaster recovery, and comprehensive logging.

  9. Integrations: Support for 20 different vector store integrations, including AWS RDS, Pinecone, Weaviate, Chroma, and more.

  10. Comprehensive Observability: Logging, monitoring, and alerting on AI application performance for optimal operation.

  11. Extensible Architecture: Leverage best of breed open-source frameworks like LlamaIndex, Haystack, FastAPI, Pydantic, and SQLAlchemy for further development.

  12. User-Friendly WebApp: Gradio front-end with integrated authentication and modular task assistant components for easy customization.

  13. Infrastructure Automation: Benefit from production-ready CI/CD pipelines for AWS deployment, test automation, Terraform-based infrastructure as code, and Docker-based containerization for easy development lifecycle.

  14. Top-Tier Security: Implement AWS security best practices, including SSO, MFA, firewalls, end-to-end encryption, and threat monitoring.

  15. LLMOps Automation: Build LLM pipelines, monitor LLM eval metrics, implement prompt optimization, and model fine tuning for improved accuracy.

  16. Modular Assistants: Leverage specialized modules for document review, research, and retrieval tasks.

  17. API Capabilities: Implement secure and scalable APIs to integrate AI-powered assistant technology into any interface.

The WizLegal AI Assistant Quick Start offers a robust, scalable, and secure solution for organizations aiming to rapidly deploy AI-powered applications while maintaining full control over their data and infrastructure.

While the benefits of GenAI powered systems are significant, building your own end-to-end solution requires significant investment — from data infrastructure to robust APIs and conversational interface design. It takes time and resources to build and refine. You can avoid spending months building from scratch (it literally took us 6 months to get an enterprise-ready system up and running).

This is where the AI Assistant Quick Start comes in. We provide an enterprise-ready solution so you can skip right to unlocking the power of your data through AI powered assistants.

With the AI Assistant Quick Start, you receive:

  • Two weeks of expert consulting, including deployment to your AWS accounts, knowledge transfer, training, architecture review, and user onboarding
  • A centralized platform for connecting and preparing all your data
  • Complete source code for both application and infrastructure, designed for extensibility
  • Production-ready AWS deployment, fully automated using Terraform and GitHub Actions
  • A sophisticated conversational chatbot incorporating your proprietary data
  • Built-in advanced search functionality
  • APIs for embedding AI-powered assistant technology into any interface

Additional Services

  • Data Ingestion: We can help you ingest your data into the platform, ensuring that it is properly structured and ready for use by the AI assistant.
  • Advanced Assistants: We can help you build advanced assistants that can perform tasks such as external API calls, complex calculations, multi-step workflows, and more.
  • Model Fine Tuning: We can help you fine tune your AI assistant model, including tasks such as selecting the appropriate model, training dataset, and evaluating its performance.
  • Cloud Deployment: Customize Terraform infrastructure as code for deployment to additional cloud providers, including Microsoft Azure, Google Cloud Platform, and IBM Cloud.
  • Model Evaluation: We can help you evaluate the performance of your AI assistant model, including tasks such as selecting the appropriate evaluation metrics, evaluating the model, and identifying areas for improvement.
  • Custom Assistants: We can help you build custom assistants that are tailored to your specific needs and requirements.

By choosing the WizLegal AI Assistant Quick Start, you can bypass months of development work and immediately start leveraging the power GenAI assistants, positioning your organization at the forefront of AI-driven innovation and efficiency.

Got questions? Contact us here: contact@wizlegal.ai