All Episodes
LangTalks — 74 episodes
74 - Jev
73 - Harness Engineering
72 - Personal Assistant Agent
71 - Claw Architectures | Gavriel Cohen (NanoClaw)
70 - Our Claude Code Tips
69 - Marketing for Agents | Nevo David (Postiz)
68 - AI-SDLC | Yonatan Maor (Clears.ai)
67 - FinOps for AI | Yizhar Gilboa (Finout)
66 - Scaling LLMOps | Avi Lumelsky (Oligo)
65 - AI SRE | Asaf Savich (Komodor)
64 - AI coding metrics | Liad Elidan (Milestone)
63 - WAKE UP
62 - AI R&D Rollout | Iko Azoulay (Salt Security)
61 - Voice Agents | Shay Davidson (Lemonade)
60 - Brain Memory | Dr. Meytar Zemer
59 - SLMs | Dr Elad Granot (Trullion)
58 - AWS re:Invent 2026 predictions | Shuki Cohen (AI21)
57 - Memory | Itamar Friedman (Qodo)
56 - n8n | Shay Shitrit
55 - Context Engineering
54 - Permissions | Or Weis (Permit.io)
53 - Search & Retrieval | Guy Itach (Fiverr)
52 - Agents at scale | Adam Cohen Hillel
51 - Our AI-driven coding workflow | Oren Melamed
50 - A2A protocol
49 - Documents analysis
48 - Vibe coding | Sahar Carmel
47 - Tech stack for Agents
46 - Building coding multi-agent (LangTalks '25 conf)
45 - AI PM: Spec for copilot feature
44 - MCP intro
43 - Building with GenAI-powered tools | Idan Benaun
42 - Text to SQL
41 - GraphRAG
40 - Advanced RAG | Nir Diamant
39 - Code generation agents | Ziv Bakhajian
38 - OpenAI Realtime API
37 - Upgrading LLM | Dolev Pomeranz (Gong)
36 - MVP with open-source LLM | Yael Daihes (Anecdotes)
35 - LLM app dev guide | Almog Baku
34 - Legal documents | Yaron Vazana (Darrow)
33 - LangGraph | Eden Marco
32 - AI PM: No-code Tools | Galit Galperin
31- Multi agents | Assaf Elovic ("GPT Researcher")
30 - Open Source Security | Avi Lumelsky (Oligo)
29 - AI PM: trust & evaluation | Shira Weinberg Harel
28 - Advanced agents
27 - Latency optimization | Dor Ringel
26 - 12 RAG Pain Points and Proposed Solutions
25 - Reranking
24 - MVP best practices
23 - LLM theory | Mike Erlihson
22 - LangChain v0.1
21 - Knowledge Graph | Jesús Barrasa (Neo4j, ENG)
20 - RAG Evaluation | Jonathan Yarkoni
19 - RAG
18 - OpenAI Dev Day
17 - Evaluation | Philip Tannor (DeepChecks)
16 - Multi modal
15 - Initiatives and volunteers matching
14 - Prompt engineering
13 - Production environment | Idan Tovi (Vee)
12 - Fine-tuning | Mike Erlihson
11 - Open source models | Matan Kleyman
10 - Summarizing mental health sessions | Amit Spinrad (Eleos Health)
9 - Popular tools for LLM-app devs
8 - Vector Databases | Uri Goren (Argmax)
7 - Agents in LangChain | Eden Marco
6 - Security and Privacy | Itamar Golan (Prompt Security)
5 - How to use Embeddings
4 - Intro to LangChain
3 - Intro to Agents
2 - How LLMs are developed
1 - Intro to LangTalks