ASAP Knowledge Navigator: Azure OpenAI/ML ChatBot with Retrieval-Augmented Generation (RAG)

ASAP Knowledge Navigator, part of the ASAP platform, speeds up the development and deployment of production-ready AI.

Enhance efficiency and simplify data engagement with ASAP’s advanced RAG system.

Spend less time searching for information and reclaim hours each day!

ASAP Knowledge Navigator combines interactive GPT chat and advanced AI features within a strong Azure cloud framework for intelligent knowledge management.

The ASAP Knowledge Navigator excels in managing diverse data formats with unmatched precision:

• Documents: Web pages, PDFs, Word documents, PowerPoint presentations, Excel spreadsheets, Markdown files, and plain text
• Images: Conducts advanced analysis utilizing integrated text extraction and object recognition capabilities

Key Features

1. Interactive Chats with GPT

• Organizes discussions into structured threads, preserving contextual relevance and ensuring long-term data security
• Focused conversations enable GPT to provide detailed, context-aware answers to specific questions

1. Semantic Search Integration

• Utilizes AI Semantic Search to extract meaningful answers that go beyond simple keyword matches
• Enhanced RAG improves AI responses by integrating external knowledge for deeper insights

1. Named Entity Recognition (NER)

• Recognizes names, organizations, locations, dates, and other entities within text
• Achieves precise search results and improves accuracy by utilizing entity-aware queries
• Adds semantic depth to RAG outputs for more meaningful results

1. Optical Character Recognition (OCR)

• Extracts text and integrates it into a searchable knowledge base
• Enhanced AI capabilities process OCR-derived data for RAG and NER applications, broadening analytical reach

1. Advanced Image Cognitive Skills

• Object and Scene Recognition: Identifies elements and contexts within images
• Facial Recognition: Analyzes individuals' identities and emotions to facilitate personalized interactions
• Image-to-Text Description: Generates accessible descriptions of visual content

Microsoft 365 Integration with MS Graph:

• Emails: Effectively processes contextual information from email contents, improving response quality in email interactions
• Events: Incorporates calendar data into AI insights to improve time management solutions for clients and teams working together
• Contact Extraction: Enhances engagement strategies and outreach efforts

Vector Search Optimization

• Utilizes DiskANN for fast semantic retrieval with 3,072-dimensional vectors compatible with Azure OpenAI embeddings
• This approach guarantees swift response times while maintaining accuracy during extensive searches

Implementation Highlights

1. Vector Storage & Retrieval: Combines Cosmos NoSQL DB with DiskANN technology for efficient large-scale vector searches, ensuring exceptional operational performance
2. Multitenancy and Multiuser Scalability: Implements partitioning strategies for robust user data isolation and efficient resource management across tenants
3. Semantic Cache: Reuses prior responses using vector similarity metrics, greatly reducing latency and computational costs for repetitive queries

Security Framework Powered by Microsoft Entra
1 . Identity Verification: Prevents unauthorized access, safeguarding sensitive data from breaches
2 . Access Management: Defines granular permissions for varying accessibility based on role requirements
3 . Compliance Monitoring: Helps organizations meet regulatory obligations while protecting proprietary information

Unlock the potential of your organization by harnessing our platform!

Elevate your navigation of complex information. Achieve deep understanding across diverse datasets.

Don’t miss out—empower your team today!