Create tech stack docs (techstack.yml and techstack.md)

[stack-file[bot]]

Adding tech stack documentation to allow anyone to easily see what is being used in this repo without digging through config files. Two files are being added: techstack.yml and techstack.md. techstack.yml contains data on all the technologies being used in this repo. techstack.md is a visualization of the YML file and displays the tech stack data in a pretty Markdown file.

💡 Protip: techstack.md contains a comment at the top of the file that the following README snippet (with and without the logos) at the top of the file as a comment:

<--- Readme.md Snippet without images Start --->

Tech Stack

dbarnett/mumindme_web is built on the following main stack:

• Python – Languages
• LangChain – Large Language Model Tools
• pgvector – Database Tools

Full tech stack here

<--- Readme.md Snippet without images End --->

Get the code:

## Tech Stack
dbarnett/mumindme_web is built on the following main stack:

- [Python](https://www.python.org) – Languages
- [LangChain](https://github.com/hwchase17/langchain) – Large Language Model Tools
- [pgvector](https://github.com/pgvector/pgvector/) – Database Tools

Full tech stack [here](/techstack.md)

---

<--- Readme.md Snippet with images Start --->

Tech Stack

dbarnett/mumindme_web is built on the following main stack:

• Python – Languages
• LangChain – Large Language Model Tools
• pgvector – Database Tools

Full tech stack here

<--- Readme.md Snippet with images End --->

Get the code:

## Tech Stack
dbarnett/mumindme_web is built on the following main stack:

- <img width='25' height='25' src='https://img.stackshare.io/service/993/pUBY5pVj.png' alt='Python'/> [Python](https://www.python.org) – Languages
- <img width='25' height='25' src='https://img.stackshare.io/service/48790/default_5b6c6b73f1ff3775c85d2a1ba954cb87e30cbf13.jpg' alt='LangChain'/> [LangChain](https://github.com/hwchase17/langchain) – Large Language Model Tools
- <img width='25' height='25' src='https://img.stackshare.io/service/109221/default_b888cdf5617d936aa6aacf130911906955508639.png' alt='pgvector'/> [pgvector](https://github.com/pgvector/pgvector/) – Database Tools

Full tech stack [here](/techstack.md)

[dbarnett]

Actually I'm not sure where you got LangChain and pgvector from... The file says detection_source: requirements.txt but there's nothing in requirements.txt besides Flask. I think you have a bug (or have been hacked for someone's shameless promotion purposes?). Also I can't find where to get support for these kinds of problems or how to manually override your automation where its detection is broken.

Planning to revert this.