Skip to content
⚠️ This is documentation for AG2 Classic (autogen package), which is in maintenance mode. For the latest version, use AG2 v1.0+ (ag2 package) at docs.ag2.ai.

Swarm#

  • in RAG, Swarm
  • 5 min read

Knowledgeable Agents with FalkorDB Graph RAG

FalkorDB Web

TL;DR: * We introduce a new ability for AG2 agents, Graph RAG with FalkorDB, providing the power of knowledge graphs * Structured outputs, using OpenAI models, provide strict adherence to data models to improve reliability and agentic flows * Nested chats are now available with a Swarm

FalkorDB Graph RAG

Typically, RAG uses vector databases, which store information as embeddings, mathematical representations of data points. When a query is received, it's also converted into an embedding, and the vector database retrieves the most similar embeddings based on distance metrics.

Graph-based RAG, on the other hand, leverages graph databases, which represent knowledge as a network of interconnected entities and relationships. When a query is received, Graph RAG traverses the graph to find relevant information based on the query's structure and semantics.