LangChain
Used to manage context and data from threat intel datasets during analysis.
What podcasters actually say about LangChain.
37 mentions, no marketing. Save them all to a pod and ask any question.
Common Themes
Videos Mentioning LangChain
Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
Latent Space
A framework for developing applications powered by language models, which Youssef has not used but is aware of.
AI and the Future of Law: The 10 Year "Overnight" Success Story
Y Combinator
Mentioned as an example of a technology that helps users get the most out of large language models, positioned in the ecosystem between base models and applications.
⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase
Latent Space
A framework used to build applications powered by language models, which was part of Chatbase's initial tech stack.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 10: Inference
Stanford Online
An open-source framework particularly good for agentic workloads, noted as potentially less popular but useful.
AI Dev 26 x SF | Eli Schilling: Hands On Agent Context & Memory Engineering with Oracle AI Database
DeepLearningAI
A framework used in conjunction with Oracle database for building agent memory systems.
AI Dev 26 x SF | Nyah Macklin: The AI Said So? How to Build Auditable AI Agents Using Context Graphs
DeepLearningAI
An example of an LLM orchestration layer that can plug into a knowledge layer for AI applications.
AI Dev 26 x SF | Carter Rabasa: File Systems Are the New Primitive for AI Agents
DeepLearningAI
A framework with a deep agents SDK that leverages file system semantics for its pluggable backend system, enabling powerful agents.
AI Dev 26 x SF | David Park: Building Production Grade Agentic Systems with ADE
DeepLearningAI
A framework that can be used for agent orchestration, mentioned as an alternative to Google ADK.
AI Dev 26 x SF | Ankit Mathur: The Coding Agent Multiverse of Madness
DeepLearningAI
A framework mentioned for building custom AI agents.
AI Dev 26 x SF | Paul Everitt: The Shift to Agentic Engineering
DeepLearningAI
A Python company mentioned in relation to harness engineering and owning memory for agents.
Stanford CS25: Transformers United V6 I Serving Transformers: Lessons from the Trenches
Stanford Online
A tool for building LLM applications, mentioned alongside specialized tools for model quality debugging.
Building with Instruction-Tuned LLMs: A Step-by-Step Guide
DeepLearningAI
A framework mentioned as a low-barrier entry method for incorporating custom data into LLM applications and for building complex LLM applications.
The 100,000 Sandbox Problem — Akshat Bubna, Modal CTO
Latent Space
Mentioned as an inference engine for comparison with Modal's capabilities.