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How to handle long docs like PDF and Docx effectively with LLMs
Tips for AI-driven coding
Python or JS? LangChain or Vanilla? In this episode we gave guidelines on important things to notice
Building SWE multi-agent with LangGraph: Zero to Hero | Lee & Gal (LangTalks GenAI 2025 Conference)
Example of product specification required from an AI PM for a new feature
all you need to know about MCP and how to get started as a developer
this episode has 2 aspects - best practices to start a new product in 2025 and what tools can accele
how to build a text to sql agent
Deep dive on why GraphRAG approach was created and how it works
advanced RAG techniques like RAPTOR and using Clues
Cursor, RepoAgent, Aider, and some more coding agents - overview and interesting architectural conce
Technical review of the new Realtime API introduced on the dev day
How to migrate the llm provider in your AI app safely
If you need to build an llm-app that uses an open-source llm, this episode is for you. Intermediate
end to end guide on how to get started and deploy to production your llm app
Build LLM-app with legal documents that have many references and domain verbiage
Getting started with LangGraph, the most popular multi agent framework
Utilize no-code tools for fast POCs
Review of why and how to build a multi-agent system. Assaf is Head of R&D @ Wix and GPT-researcher o
everything about adopting open source code and models for your llm app