RAG Commands¶
Knowledge Base Management¶
Create Knowledge Base¶
ideaweaver rag create-kb --name my-kb --description "My knowledge base"
Options:
- --name: Knowledge base name (required)
- --description: Knowledge base description
- --embedding-model: Embedding model to use
- --chunk-size: Chunk size for text splitting
- --chunk-overlap: Overlap between chunks
- --chunking-strategy: Text chunking strategy (recursive|token|semantic)
- --vector-store: Vector store backend (chroma|qdrant_local|qdrant_cloud)
- --qdrant-url: Qdrant Cloud URL (required for qdrant_cloud)
- --qdrant-api-key: Qdrant Cloud API key (optional)
- --qdrant-prefix: Collection prefix for Qdrant (optional)
- --qdrant-timeout: Connection timeout in seconds (optional)
Note: For security reasons, never commit API keys or sensitive URLs to version control. Use environment variables or secure secret management systems.
List Knowledge Bases¶
ideaweaver rag list-kb
Delete Knowledge Base¶
ideaweaver rag delete-kb --name my-kb
Document Management¶
Ingest Documents¶
ideaweaver rag ingest --kb my-kb --source ./docs --file-types md,pdf
Options:
- --kb: Knowledge base name (required)
- --source: Source path (file or directory) (required)
- --file-types: Comma-separated list of file types to include
- --verbose: Verbose output
Show Knowledge Base Statistics¶
ideaweaver rag stats --kb my-kb
Querying¶
Basic Query¶
ideaweaver rag query --kb my-kb -q "What are the main features?"
Agentic Query¶
# Set OpenAI API key as environment variable
export OPENAI_API_KEY="$OPENAI_API_KEY"
# Run agentic query
ideaweaver rag agentic-query --kb my-kb -q "Explain the advanced features"
Compare RAG Types¶
ideaweaver rag compare-rag-types --kb my-kb -q "What are the key features?"
Evaluation¶
Evaluate RAG System¶
ideaweaver rag evaluate --kb my-kb
Generate Test Questions¶
ideaweaver rag generate-test-questions --kb my-kb
Compare Knowledge Bases¶
ideaweaver rag compare-kb --kb1 kb1 --kb2 kb2
Visualization¶
Show RAG Workflow¶
ideaweaver rag show-workflow
Example Workflow¶
- Create a new knowledge base with Qdrant Cloud:
# Set Qdrant Cloud credentials as environment variables export QDRANT_URL="your-cloud-url" export QDRANT_API_KEY="your-api-key" # Create knowledge base ideaweaver rag create-kb --name cloud-kb \ --vector-store qdrant_cloud \ --qdrant-url "$QDRANT_URL" \ --qdrant-api-key "$QDRANT_API_KEY" \ --description "Cloud knowledge base"
Note: For security reasons, never commit API keys or sensitive URLs to version control. Use environment variables or secure secret management systems.
- 
Ingest documents: ideaweaver rag ingest --kb cloud-kb --source ./docs --file-types md
- 
Query the knowledge base: ideaweaver rag query --kb cloud-kb -q "What are the main features?"
- 
Evaluate the system: ideaweaver rag evaluate --kb cloud-kb
- 
Generate test questions: ideaweaver rag generate-test-questions --kb cloud-kb
- 
Compare with another knowledge base: ideaweaver rag compare-kb --kb1 cloud-kb --kb2 another-kb
Advanced Usage¶
Using Different Vector Stores¶
Chroma:
ideaweaver rag create-kb --name chroma-kb --vector-store chroma
Qdrant Cloud:
# Set Qdrant Cloud credentials as environment variables
export QDRANT_URL="your-cloud-url"
export QDRANT_API_KEY="your-api-key"
ideaweaver rag create-kb --name qdrant-cloud-kb \
    --vector-store qdrant_cloud \
    --qdrant-url "$QDRANT_URL" \
    --qdrant-api-key "$QDRANT_API_KEY" \
    --qdrant-timeout 30
Note: For security reasons, never commit API keys or sensitive URLs to version control. Use environment variables or secure secret management systems. Example:
export QDRANT_URL="your-cloud-url" export QDRANT_API_KEY="your-api-key" export OPENAI_API_KEY="your-openai-key" export HUGGINGFACE_HUB_TOKEN="your-hf-token" export GITHUB_TOKEN="your-github-token"
Custom Chunking Strategy¶
ideaweaver rag create-kb --name custom-kb \
    --chunking-strategy semantic \
    --chunk-size 500 \
    --chunk-overlap 50
Using Different Embedding Models¶
ideaweaver rag create-kb --name custom-emb-kb \
    --embedding-model sentence-transformers/all-mpnet-base-v2