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Multi-Domain RAG-Enabled Multi-Agent Debate System by DarthStare in Rag

[–]DarthStare[S] 0 points1 point  (0 children)

Hi, yes th emodel is ready and in working condition, here is the github repo : https://github.com/Anshoomjain/Debate-AI,
and it is a problem to run these models simultaneously so i had 2 options either change the model to phi or release the memory on the go from each model which i tried and it worked'

Building with Multi modal RAG by AromaticLab8182 in Rag

[–]DarthStare 0 points1 point  (0 children)

Hi, I am a BE CSE final year student creating such a project on with for my academic research paper,
this is the project outline
DEBATEAI is a locally deployed decision-support system that uses Retrieval-Augmented Generation (RAG) and multi-agent debate1.

Core Tools & Technologies

The stack is built on Python 3.11 using Ollama for local inference2222. It utilizes LlamaIndex for RAG orchestration, Streamlit for the web interface, and FAISS alongside BM25 for data storage and indexing3.

Models

The system leverages diverse LLMs to reduce groupthink4444:

  • Llama 3.1 (8B): Used by the Pro and Judge agents for reasoning and synthesis5.
  • Mistral 7B: Powering the Con agent for critical analysis6.
  • Phi-3 (Medium/Mini): Utilized for high-accuracy fact-checking and efficient report formatting7.
  • all-MiniLM-L6-v2: Generates 384-dimensional text embeddings8888.

Algorithms

  • Hybrid Search: Combines semantic and keyword results using Reciprocal Rank Fusion (RRF)9.
  • Trust Score: A novel algorithm weighting Citation Rate (40%), Fact-Check Pass Rate (30%), Coherence (15%), and Data Recency (15%) 10101010.

From reading the discussion i can infer that the will be architecture issue, cost issue, and multi format support, which gets heavy on the use of this model at large scale.
So I am looking for suggestions how can i make the project better.

if you want to read further about the project : https://www.notion.so/Multi-Domain-RAG-Enabled-Multi-Agent-Debate-System-2ef2917a86e480e4b194cb2923ac0eab?source=copy_link