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.
CODE
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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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Installation de Milvus : Base de données vectorielle open-source
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2. Install Milvus We use Milvus, an open-source vector database, to store document embeddings. Milvus supports flexible deployments via Kubernetes, Docker, or Lite mode via pip install. Let's run the "standalone_embed. sh" script to launch Milvus in Docker standalone mode.
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LLMs Enable Developer to Build React UI Unexpectedly
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thanks to llms, im writing a ui in react. something i never thought i would do lol
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Using AI for Automated Bug Diagnosis and Code Refactoring
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8. Python Bug-Smasher (Developer)
— God of Prompt (@godofprompt) 1 mai 2025
Prompt
“I have this failing unit test for a function calculate_tax(). Here’s the code and traceback (paste below). Diagnose the bug, rewrite the function, and explain in 2 sentences why the test now passes.”
What to expect
• Pinpointed error… pic.twitter.com/4oisd3UL6s8. Python Bug-Smasher (Developer) Prompt “I have this failing unit test for a function calculate_tax(). Here’s the code and traceback (paste below). Diagnose the bug, rewrite the function, and explain in 2 sentences why the test now passes.” What to expect • Pinpointed error
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DeepSeek Releases Prover-V2: Open-Source AI for Mathematical Theorem Proving
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DeepSeek quietly released Prover-V2, an open-source AI combining informal math reasoning with theorem proving —671B params
—Solves 88.9% of problems on MiniF2F
—Does 'cold-start' to break down complex proofs into subgoals before formal verification -
Batch Image Analysis Tutorial in Groq API Cookbook
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Cookbook: https://
github.com/groq/groq-api-
cookbook/tree/main/tutorials/batch-analyze-images
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Groq Batch API Cookbook: Scale Image Processing with Llama 4 Maverick
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Hi everyone! @benankdev from the devrel team with some very exciting news:
— Groq Inc (@GroqInc) 30 avril 2025
New @GroqInc cookbook just dropped: learn how to process images at scale with Batch API + Llama 4 Maverick without hitting rate limits! 🚀
Need to transcribe audio clips? Batch works for that, too. pic.twitter.com/lRoPEVZl0gHi everyone! @benankdev from the devrel team with some very exciting news: New @GroqInc cookbook just dropped: learn how to process images at scale with Batch API + Llama 4 Maverick without hitting rate limits! Need to transcribe audio clips? Batch works for that, too.