6. Agent Interaction Finally define the chat logic. Once the user prompt is passed to the agent, it plans and takes actions. It first queries the vector database. If no relevant results are returned, it falls back to DuckDuckGo and responds with the final output.
AGENTS
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Loading Knowledge Base and Initializing RAG Agent for PDF Processing
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5. Next, Loading the Knowledge & Agent When a PDF is processed, we instantiate PDFKnowledgeBase with the file path & our Milvus vector_db. Then we pass it into the above "get_rag_agent" method to initialize a fully ready-to-chat agent and then store it as a session variable.
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Building a PDF RAG Agent with Agno and GPT-4o-mini
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4. Next, let’s build the PDF RAG Agent The get_rag_agent function sets up the Agno Agent with gpt-4o-mini, PDFKnowledgeBase, and the DuckDuckGo tool for web search. This design allows the agent to try PDF knowledge base first and fall back to websearch if needed.
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Setup Milvus VectorDB for RAG Agent Semantic Search
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3. Setup vectorDB First, connect to Milvus to store and search vector embeddings. Agno simplifies this with an abstraction for the Milvus client. Provide the collection name, embedding model, and server info to create the collection, enabling semantic search in our RAG Agent.
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Meta developing Discover AI tab with Reasoning and Voice Personalisation
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Meta is working on a new Discover AI's tab as well as new Reasoning and Voice Personalisation options. h/t @alex193a
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Meta Launches Autonomous AI App and AI News Roundup
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Meta lance une application d'IA autonome
Mais aussi : les aperçus audio sont désormais multilingues dans NotebookLM, Figure AI bloque les ventes d'actions non approuvées et bien plus encore. Ma dernière newsletter gratuite : https://
vision-ia.beehiiv.com/p/meta-ia-auto
nome
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AGI Alpha Agent Exploits Market Inefficiencies Through Advanced Learning
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Global markets seep ✧ Trillions / yr in latent “alpha” opportunity: • Pricing dislocations
• Supply‑chain inefficiencies
• Policy loopholes
• Etc! GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… Out‑learn · Out‑think · Out‑design · Out‑strategise · Out‑execute #AGI #AIAgent -
Databricks Invests in LlamaIndex for Agent Workflows
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Today, we’re excited to deepen our partnership with @llama_index through a strategic investment by #DatabricksVentures! Together, Databricks and LlamaIndex make it easier for every organization to build robust agent workflows and unlock insights from unstructured data at scale.
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LLM Agent Generates Creative 3D Objects Part by Part
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Built an LLM agent that constructs 3D objects part by part. A nice thing is you can leverage an LLM’s reasoning to generate out-of-distribution stuff like a chair with five legs. GPT-4o sometimes gets it; no luck with Imagen-3 yet.
— Yutaro Yamada (@_yutaroyamada) 1 mai 2025
Demoing today at #NAACL2025, Hall 3, 4-5:30pm! pic.twitter.com/g9Isda8q1xBuilt an LLM agent that constructs 3D objects part by part. A nice thing is you can leverage an LLM’s reasoning to generate out-of-distribution stuff like a chair with five legs. GPT-4o sometimes gets it; no luck with Imagen-3 yet.
Demoing today at #NAACL2025, Hall 3, 4-5:30pm! -
AI Agents and Automation Transform Workplace Dynamics in 2026
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OpenAI : tensions sur la privatisation
Dia : deux étudiants lancent une alternative à ElevenLabs
Les IA deviennent des collègues… et des risques
Microsoft annonce les “agents patrons”
Mechanize vise l’automatisation du travail intellectuel #FuturDuTravail