8nap AI Search – Documents Conversation

8nap AI Search transforms enterprise knowledge discovery by digitalizing document classification, navigation, and retrieval across unstructured and semi-structured data sources. AI powered digital information retrieval platform that:

• Digitizes E2E lifecycle of documents classification, storage, and info. retrieval
• Has Multilingual language models, Augmented OCR, ICR, Digital Low Code
• Customizes search capabilities with AI and LLMs for conversational experience
• Has configured search service with intuitive user experiences and traceability
• Is GDPR compliant with required preventive and proactive controls in place
• Scales to manage large volume and has continuous learning ability

Features:

• ML-Based Document Classification Automatically classifies documents using structure, metadata, and content, streamlining retrieval and context understanding.

• Context-Aware Knowledge Enrichment Transforms static documents into dynamic, navigable knowledge units for faster discovery and reuse.

• Smart UI Interaction & Navigation Supports deep document linking, source tracking, and citation management, enhancing transparency and traceability.

• Multilingual Search with RBAC Provides secure, role-based access to multilingual document search, making it scalable across global teams.

Key Implementation Details:

1. Document Process – Include details related to OCR, classification, parsing, extraction, and translation.

2. Document Enrichment – Mention any enrichment using ML/AI services like Amazon SageMaker.

3. Knowledge Store – Include where documents, vectors, and metadata are stored (e.g., Amazon S3, OpenSearch, RDS).

4. LLM – Details of the use of Large Language Models (e.g., Amazon Bedrock).

5. GUI and Authentication – Describe frontend, hosting, exposure, load balancers, authentication/authorization methods like Cognito.

6. Monitoring & Logging – Operational monitoring and logging leverage AWS CloudTrail, Amazon CloudWatch, and the ELK stack.