What r/LangChain is talking about this week

Hi all, A while back I shared the start of a series on building a LangGraph app that survives contact with production (that post). Six more parts are up since then. These are the...

Hi folks, anyone using qdrant or pgvector, please share your experience working with them and your reason for going with them instead of others?

A tool calls a vendor API. The vendor renames customerid to id, the response is still valid JSON, and the tool call succeeds at the HTTP level. The first obvious failure might be a later step that...

Just published a short practical video where I run RAG completely offline on my own laptop using Ollama. No cloud, no API keys, no data leaving the machine. In the video I show: Setting up local...

Hi folks, curious on what vector database do you guys use in your production/mvp and why did you choose to go with your choice over others?

TL;DR: Long-running AI agents eventually suffer from context bloat, state loss, or hallucination loops. I've just published an open-source guide detailing architecture patterns for maintaining...

A while back I shared NextRole here. It’s a side project where a supervisor agent runs three subagents (hiring recon, resume tailoring and interview coaching) on LangGraph + DeepAgents. It’s now...

I have gpt-oss-120b hosted on azure and use AzureChatOpenAI for model invokes. The model has 2 calls bind to it and for some reason it fails to provide any content and tool\calls in its response....

I built schemagate (Apache-2.0). Instead of pasting the whole schema into the prompt, it picks only the tables a question needs. It runs offline (BM25 plus a small embedder) and makes no model...