How It Works
Every story, epic, test, and analysis is automatically embedded into a local vector store. Bulk-ingest Jira items via JQL, upload PDF/DOCX documents, or pull Confluence pages to accelerate learning. The knowledge graph visualises all connections, and semantic search lets you ask natural-language questions grounded in your actual project data.
Knowledge Base
Your organization's collective intelligence — ingested from Jira Stories, Epics, Test Cases, PDF/Word documents, and Confluence. Every piece of knowledge is embedded and interconnected. Ask questions, explore the knowledge graph, or bulk-feed new data to make TestForge smarter.
Stories
Epics
Test Cases
Documents
Analyses
total documents embedded
Bulk Knowledge Ingestion
Feed your knowledge base in bulk
One-click project ingestion
Enter your Jira project key to ingest all stories, epics, bugs, and tasks in one go.
Sprint metadata and version info are also captured for richer context.
issues ingested from
· failed
( total in project)
:
· failed
Keys:
Drop files here or click to browse
Supports PDF, DOCX, TXT, MD — each file will be parsed, chunked, and embedded
files processed · chunks embedded
—
pages ingested
· failed
—
Knowledge Graph
No data yet. Ingest some knowledge to see the graph.
Stories
Epics
Tests
Documents
Analyses
Source:
·
Ask About the System
Natural language Q&A powered by your knowledge base
Sources Referenced
Semantic Search
Search by meaning, not keywords
No results found. The knowledge base may be empty — ingest some data first.
Found relevant snippets
Reset Knowledge Base
Clears all learned embeddings. Cannot be undone.