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open-source rag langchain langgraph postgres terraform tutorial

Summary

This tweet highlights an open-source RAG assistant for airline policies with complete source code and a video walkthrough by Lena (@lenadroid). It uses LangChain, LangGraph, Postgres with pgvector, Terraform, and indexes source documents.

We should build a church for people who open-source their code so everyone can learn from it. Here is the complete source code of a RAG assistant to navigate airline policies. You get the complete source code and video from @lenadroid, walking you through everything she did (I'm linking to the video in the first comment below). The fact that you can watch every engineering decision that Lena made when building this app is pure gold. A few things you'll pick up from this: • It uses LangChain for the retrieval pipeline • It uses LangGraph for conversation state • It stores embeddings in Postgres with pgvector • It indexes documents to ground answers in the source text • It uses Terraform to stand up the infrastructure I'm linking to the video walkthrough and the source code below.
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Cached at: 06/25/26, 03:21 PM

We should build a church for people who open-source their code so everyone can learn from it.

Here is the complete source code of a RAG assistant to navigate airline policies.

You get the complete source code and video from @lenadroid, walking you through everything she did (I’m linking to the video in the first comment below).

The fact that you can watch every engineering decision that Lena made when building this app is pure gold.

A few things you’ll pick up from this:

• It uses LangChain for the retrieval pipeline • It uses LangGraph for conversation state • It stores embeddings in Postgres with pgvector • It indexes documents to ground answers in the source text • It uses Terraform to stand up the infrastructure

I’m linking to the video walkthrough and the source code below.

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