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Building a Deep Research Agent Using MCP-Agent

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Open SWE by LangChain

I'm in 9th grade and I built a "Mixture-of-LoRAs" architecture from scratch (Router + Experts + RAG) that runs on a single RTX 3060.

[D] I built a reasoning pipeline that boosts 8B models using structured routing + verification

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Employ Different LLMs at Different Stages of an Agentic Workflow? 🤖

Liquid AI

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LFM2-1.2B-RAG

Task: text-generation

Jina AI

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jina-embeddings-v4

Task: visual-document-retrieval

mindsdb

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mindsdb

Federated query engine for AI - The only MCP Server you'll ever need

langchain-ai

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langchain

🦜🔗 The platform for reliable agents.

pathwaycom

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pathway

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

run-llama

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llama_index

LlamaIndex is the leading framework for building LLM-powered agents over your data.