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RAG#

  • 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.

  • in RAG
  • 5 min read

EcoAssistant - Using LLM Assistants More Accurately and Affordably

system

TL;DR: * Introducing the EcoAssistant, which is designed to solve user queries more accurately and affordably. * We show how to let the LLM assistant agent leverage external API to solve user query. * We show how to reduce the cost of using GPT models via Assistant Hierarchy. * We show how to leverage the idea of Retrieval-augmented Generation (RAG) to improve the success rate via Solution Demonstration.

EcoAssistant

In this blog, we introduce the EcoAssistant, a system built upon AutoGen with the goal of solving user queries more accurately and affordably.

  • in RAG
  • 8 min read

Retrieval-Augmented Generation (RAG) Applications with AutoGen

Deprecated

RetrieveAssistantAgent is deprecated as of v0.12 and will be removed in v0.14. Use AssistantAgent instead. References to RetrieveAssistantAgent in this blog post will be updated or removed in v0.14.

Last update: August 14, 2024; AutoGen version: v0.2.35

RAG Architecture

TL;DR: * We introduce RetrieveUserProxyAgent, RAG agents of AutoGen that allows retrieval-augmented generation, and its basic usage. * We showcase customizations of RAG agents, such as customizing the embedding function, the text split function and vector database. * We also showcase two advanced usage of RAG agents, integrating with group chat and building a Chat application with Gradio.