Data Leads Future

Advanced RedisVL Long-term Memory Tutorial: Using an LLM to Extract Memories Building an intelligent, context-aware memory system

Most “agent memory” setups just save everything and hope semantic search will fix it.

I share a pattern that works better:
✅ Use an LLM to decide what is worth remembering
✅ Store memories in RedisVL
✅ Run memory extraction in parallel with asyncio

www.dataleadsfuture.com/advanced-red...

#ai

Build Long-Term and Short-Term Memory for Agents Using RedisVL Pros and cons analysis based on real-world practice

Tried RedisVL as a memory layer for AI agents:

✅ Short-term memory with MessageHistory: works great
😒 Long-term semantic memory with SemanticMessageHistory: not so much

If you are thinking about RedisVL for agent memory, this will save you time:
www.dataleadsfuture.com/build-long-t...

#AI

Microsoft Agent Framework (MAF) Middleware Basics: Add Compliance Fences to Your Agent Principles, usage, and development standards

AI agents can be smart — but without compliance guardrails, they can be risky.

I used Microsoft Agent Framework middleware + AG‑UI to block unsafe prompts in a live chatbot.

More on the setup + real example 👇
www.dataleadsfuture.com/microsoft-ag...

#ai #llm #aiagents #DataScience #Python

📄 Turning PDFs into usable data isn’t magic — it’s DeepSeek-OCR + docling.

I tested this combo with real financial reports, added Agentic RAG, and pitted DeepSeek-OCR against PaddleOCR.

The results? Eye-opening. 👀⬇️
www.dataleadsfuture.com/how-to-use-d...

#ai #llm #ocr #DataScience #RAG #DeepSeek

My Agent System Looks Powerful but Is Just Industrial Trash Single agent, low robustness, and position bias

🚨 Built an AI agent that wowed in demos…

…then crashed hard with real users.

From perfect prototype to industrial trash — here’s what went wrong, and how a multi-agent + Microsoft Agent Framework might fix it.

Read the lessons 👉
www.dataleadsfuture.com/my-agent-sys...

#ai #llm #DataScience

Make Microsoft Agent Framework’s Structured Output Work With Qwen and DeepSeek Models Things You Always Have to Do When Switching a Framework

Switching AI frameworks shouldn’t break your LLM’s structured output.

I hacked Microsoft Agent Framework so Qwen and DeepSeek can follow Pydantic BaseModel rules — clean JSON every time.

See how in my step‑by‑step guide 👉
www.dataleadsfuture.com/make-microso...
#ai #llm #Qwen #DeepSeek #Python

Share My LLM Prompts and Tips That Make Work and Learning Super Efficient Can they help you too?

🚀 Work. Learn. Grow. Repeat.

I’ve spent 2 years teaching AI to help me learn AI — and it changed my work forever.

Now I’m sharing my best LLM prompts, productivity hacks & tools to speed up your workflow.

⚡ Read here →
www.dataleadsfuture.com/share-my-llm...

#ai #promptengineering #productivity

Exclusive Reveal: Code Sandbox Tech Behind Manus and Claude Agent Skills Use Jupyter code executor to help your agent finish tasks in a smarter way

The secret behind Manus & Claude Agent Skills?

🤫 Stateful code sandboxes that let AI agents run Python step‑by‑step, keep context, and crack complex problems.

I’ll show you how to build it on your own Jupyter Server—no pricey cloud sandbox needed.

www.dataleadsfuture.com/exclusive-re...

#ai

Build AutoGen Agents with Qwen3: Structured Output & Thinking Mode Save yourself 40 hours of trial and error

Save 40+ hours ⚡

I built an OpenAILike client to connect #AutoGen with #Qwen3

✅ Structured output

✅ Thinking mode control

✅ Full demo + source code

👉 Read it here:
www.dataleadsfuture.com/build-autoge...
#AI #LLM #DataScience #Qwen #Python

How To Use DeepSeek-OCR And Docling For PDF Parsing Is it really that good

🧐 Is DeepSeek-OCR as good as people say?
I plugged it into docling, ran PDF tests, and pitted it against PaddleOCR. The results might surprise you… 😅
Full story 👉
www.dataleadsfuture.com/how-to-use-d...
#ai #datascience #largelanguagemodel #python