07_knowledge

Examples for retrieval-augmented generation, knowledge filters, and custom retrievers.

Files

agentic_rag.py - Agentic RAG with PgVector.
agentic_rag_with_reasoning.py - Agentic RAG with reasoning tools.
agentic_rag_with_reranking.py - Agentic RAG with Cohere reranking.
custom_retriever.py - Use a custom retrieval function instead of a Knowledge instance.
knowledge_filters.py - Filter knowledge searches with static or agentic filters.
rag_custom_embeddings.py - RAG with custom embeddings.
references_format.py - Control reference format (JSON vs YAML).
traditional_rag.py - Traditional RAG with context injection.

Load environment variables with direnv allow (including OPENAI_API_KEY).
Create the demo environment with ./scripts/demo_setup.sh, then run cookbooks with .venvs/demo/bin/python.
Requires PostgreSQL with pgvector: ./cookbook/scripts/run_pgvector.sh