Context Portal
Builds a project-specific knowledge graph to supercharge AI assistants with context-aware Retrieval Augmented Generation (RAG) capabilities.
About
Context Portal is a memory bank that helps AI assistants understand your software projects better. It stores project information, like decisions and architecture, in a structured knowledge graph that AI can access. Enhanced by vector embeddings for semantic search, ConPort provides a robust backend for Retrieval Augmented Generation (RAG), enabling AI assistants to deliver more accurate, context-aware responses within IDEs and other interfaces.
Key Features
- Multi-workspace support via workspace_id
- 209 GitHub stars
- Enables building a dynamic project knowledge graph with explicit relationships
- Structured context storage using SQLite (one DB per workspace)
- Vector data storage and semantic search capabilities
- MCP server built with Python/FastAPI
Use Cases
- Managing and querying project-specific knowledge for AI tools
- Enabling context-aware development in IDEs
- Improving AI assistant accuracy through Retrieval Augmented Generation (RAG)