3 dépôts
Links unstructured documentation and external knowledge to technical data assets for searchable expertise.
Distinct from Technical Knowledge Bases: Distinct from Technical Knowledge Bases: focuses on linking external documentation to technical data assets rather than just hosting technical docs.
Explore 3 awesome GitHub repositories matching data & databases · Institutional Knowledge Integration. Refine with filters or upvote what's useful.
This project is a large language model persona simulation framework designed to distill individuals into AI personas using professional data and interpersonal context. It functions as a personal knowledge base ingestor and agent configuration manager, allowing for the creation of digital twins that reproduce a specific person's mental models, speaking styles, and professional workflows. The system utilizes a dual-model persona architecture that separates professional work skills from interpersonal personality traits. It distinguishes itself through a multimodal persona generator capable of pr
Captures professional workflows and decision patterns to maintain institutional knowledge.
DB-GPT is an AI-driven database management system that uses agentic reasoning to execute data tasks. It converts natural language prompts into executable database queries and combines structured database records with unstructured knowledge bases to provide grounded analysis. The system orchestrates multi-step reasoning chains that integrate database queries, custom scripts, and external tool calls. It allows for the packaging of domain knowledge into reusable analysis skills and executes generated code within sandboxed environments for system safety. The platform covers data orchestration ac
Integrates unstructured organizational files with structured technical data assets for a unified knowledge view.
DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono
Ingests and links unstructured documentation from external sources to technical data assets to provide a searchable record of organizational expertise.