🤖 Agentic RAG + Function Calling + MCP = AI superpowers.
RAG gives LLMs fresh knowledge, Function Calling lets them trigger actions, and MCP standardizes tool access across platforms. Open standard → smarter, action-driven AI.

#AI #LLM #RAG #MCP #FunctionCalling #LLMZoomcamp

🚀 MCP: The USB Port for AI Tools
MCP (Model Context Protocol) gives LLMs a toolbox — tools are discoverable, callable, and work the same across platforms. No more glue code. MCP = Open standard → LLMs + tools = instant collaboration.

#AI #LLM #MCP #ModelContextProtocol #AItools #LLMZoomcamp

🛠️ Function Calling lets AI run tools like APIs during a conversation.

In Agentic RAG, this means: fetch live data ✅ run computations ✅ trigger services ✅

💡 Your AI doesn’t just talk — it gets things done.

#AI #FunctionCalling #AgenticRAG #LLM #LLMZoomcamp

🔍 Just explored Agentic RAG — Retrieval-Augmented Generation with autonomous agents.
📚 It doesn’t just find info, it decides how to use it.

Like giving AI both a library card and a research assistant.

#AI #RAG #AgenticRAG #MachineLearning #LLMZoomcamp

Cognee isn't just embedding chunks.
It creates connections + indexes + meaning.
Perfect for RAG setups with custom DBs.
Feels like bridging data and cognition.

#Cognee #RAG #LLMStack
#LLmZoomcamp

🧠 Working on a layered stack:

🔗 DLT for data trust

🧭 Cognee for semantic retrieval

🐥 DuckDB for fast analytics

🌳 Neo4j + Kùzu for graph navigation
Data isn't just stored—it's understood.

#DLT #GraphDB #LLMInfra #LLMZoomcamp