Skip to content

Swarm#

Introducing RealtimeAgent Capabilities in AG2

TL;DR: - RealtimeAgent is coming in the AG2 0.6 release, enabling real-time conversational AI. - Features include real-time voice interactions, seamless task delegation to Swarm teams, and Twilio-based telephony integration. - Learn how to integrate Twilio and RealtimeAgent into your swarm in this blogpost.

Realtime API Support: What's New?

We're thrilled to announce the release of RealtimeAgent, extending AG2's capabilities to support real-time conversational AI tasks. This new experimental feature makes it possible for developers to build agents capable of handling voice-based interactions with minimal latency, integrating OpenAI’s Realtime API, Twilio for telephony, and AG2’s Swarm orchestration.

  • 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.