Building a Persistent Local Knowledgebase with CrewAI for Cursor
AI Summary
- Introduction to a tool integration with Cursor
- Searches the internet to enhance a local knowledge base
- Cursor indexes the knowledge for code generation
- Benefits of the tool
- Provides up-to-date documentation for various projects
- Augments code writing with retrieval from the knowledge base
- Existing Cursor features
- Web search tool for adding context
- Indexing websites within a chat interface
- Personal experience
- Frequent use of the same documentation
- Development of a tool to curate a knowledge base using L chain tools
- Demonstration
- Crew AI documentation as the main research topic
- Summarizer agent processes and saves information
- Multiple runs for different topics (Crew AI docs, Lang chain tools, etc.)
- Visual representation in Obsidian’s visualizer
- Practical application
- Persistent local database accessible at any time
- Integration with workspaces for various projects
- Example: Crew that retrieves weather data for reports
- Future plans
- Posting the code on GitHub
- Showcasing the Knowledge Graph
- High-level linked concepts
- Detailed web page information
- Conclusion
- Tool has been useful for different projects
- Knowledge bases can be built and curated over time