🫡😁New challenge this week!
Building a Retrieval Augmented Generation (RAG) system that can answer questions from customer complaint data using semantic search and LLMs.
The goal is to transform thousands of customer complaints into meaningful insights that help teams better understand customer pain points.
This week project will lead me to learn more about vector databases, embeddings, retrieval systems, and AI-powered question answering.
😎DAY 1
#AI #RAG #MachineLearning #LLM #GenerativeAI
Building a Retrieval Augmented Generation (RAG) system that can answer questions from customer complaint data using semantic search and LLMs.
The goal is to transform thousands of customer complaints into meaningful insights that help teams better understand customer pain points.
This week project will lead me to learn more about vector databases, embeddings, retrieval systems, and AI-powered question answering.
😎DAY 1
#AI #RAG #MachineLearning #LLM #GenerativeAI
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Here is the real Leo👏🏽✌🏿
https://t.me/leotriesdesign/787
https://t.me/leotriesdesign/787
Telegram
Leo Design (Non - Design)
@leotriesdesign
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As always well said 🤌🏾 and noted !✌🏿
https://t.me/selfmadecoder/4154
https://t.me/selfmadecoder/4154
Telegram
Tech Nerd
Most people won’t see the vision in the beginning. not because they’re against you, but because they can only judge what already exists.
They see your current skills, your current results, and your current circumstances. From that, they form an opinion of…
They see your current skills, your current results, and your current circumstances. From that, they form an opinion of…
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Simret.exe
🫡😁New challenge this week! Building a Retrieval Augmented Generation (RAG) system that can answer questions from customer complaint data using semantic search and LLMs. The goal is to transform thousands of customer complaints into meaningful insights that…
This phase needs a deep understanding of the setup you really have to know which packages to install and how to balance dependencies if you don't want to cry later! 😁
The next step is running EDA on a massive customer complaint dataset across credit cards, personal loans, and money transfers. I hope it isn’t going to be too hard! 🤞✌️
Good night everyone! 😴✨
The next step is running EDA on a massive customer complaint dataset across credit cards, personal loans, and money transfers. I hope it isn’t going to be too hard! 🤞✌️
Good night everyone! 😴✨
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✨Today's New concept
Approximate Nearest Neighbor (ANN) algorithms make similarity search much faster by finding vectors that are close enough to the nearest neighbors without checking every vector in the database.
#DAY2 of the project
Approximate Nearest Neighbor (ANN) algorithms make similarity search much faster by finding vectors that are close enough to the nearest neighbors without checking every vector in the database.
#DAY2 of the project
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Word of the day 🫰
https://t.me/abroid0/408
https://t.me/abroid0/408
Telegram
Abroid Ðēv
one of my favorite movie scenes of all time is from "The Pursuit of Happyness".
during an interview, he says:
i'm the type of person, if you ask me a question and i don't know the answer, i'm gonna tell you that i don't know. but i bet you what: i know…
during an interview, he says:
i'm the type of person, if you ask me a question and i don't know the answer, i'm gonna tell you that i don't know. but i bet you what: i know…
Forwarded from Yohannes Haile (Yohannes Haile)
“The undocumented life is not worth living”
— Socrates, Influencer
— Socrates, Influencer
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This shows mom's resilience has no limits.❤️❤️ still she is young but she achieve her dreams
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🫡Project update on #DAY2
I have been working on :
Loading & explored 9.6 million real CFPB customer complaints🤧🤧🤧
Analyzed complaint distribution across 21 product categories
Built a text cleaning pipeline (boilerplate removal, normalization)
Set up CI/CD with GitHub Actions — 7 tests passing ✅
Next up: building the embedding pipeline to turn these complaints into searchable AI vectors! 🔥
It seems easy but it is not.It needs careful consideration of the data.
I have been working on :
Loading & explored 9.6 million real CFPB customer complaints🤧🤧🤧
Analyzed complaint distribution across 21 product categories
Built a text cleaning pipeline (boilerplate removal, normalization)
Set up CI/CD with GitHub Actions — 7 tests passing ✅
Next up: building the embedding pipeline to turn these complaints into searchable AI vectors! 🔥
It seems easy but it is not.It needs careful consideration of the data.
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Good night fams🤝🫡
Don't forget to rest☺️😁
Let us say this word of the night ☺️☺️👇
https://t.me/Luna_moonmam/2793
Don't forget to rest☺️😁
Let us say this word of the night ☺️☺️👇
https://t.me/Luna_moonmam/2793
Telegram
Luna's pathway🤗
For the people who struggle alone.
For the people who carry responsibilities nobody sees.
For the people who take the blame to protect others.
For the people who stay silent while their efforts go unnoticed.
For the people who hold teams together while…
For the people who carry responsibilities nobody sees.
For the people who take the blame to protect others.
For the people who stay silent while their efforts go unnoticed.
For the people who hold teams together while…
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Simret.exe
🫡Project update on #DAY2 I have been working on : Loading & explored 9.6 million real CFPB customer complaints🤧🤧🤧 Analyzed complaint distribution across 21 product categories Built a text cleaning pipeline (boilerplate removal, normalization) Set up CI/CD…
#DAY3 of the project
Yesterday what I did was that cleaning and organising the complaint letters. So the next part is teaching the AI how to read and remember them.It is going to be implementing text chunking , choosing an embedding model and also generating vector embedding for each chunk.
✌️✌️trust the process
Yesterday what I did was that cleaning and organising the complaint letters. So the next part is teaching the AI how to read and remember them.It is going to be implementing text chunking , choosing an embedding model and also generating vector embedding for each chunk.
✌️✌️trust the process
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I have no boundaries how much I love pheven_teklay❤️😘😘 her voice her thoughts ☺️🤐
This one I found on my gallery like a remainder ☺️
People will always have opinions and labels, but your peace is your responsibility. Guard your energy like a soldier, heal your soul like a doctor, and keep moving forward. 🚶♀️💫
This one I found on my gallery like a remainder ☺️
People will always have opinions and labels, but your peace is your responsibility. Guard your energy like a soldier, heal your soul like a doctor, and keep moving forward. 🚶♀️💫
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Forwarded from Opportunity Alerts📢
#Opportunity_Alerts📣
🌟Paid Internship Opportunity: Join Mastercard Foundation Associates Program 2026 for Young Africans🌟
✨Are you a recent graduate looking for paid work experience, mentorship, and career development opportunities? The Mastercard Foundation Associates Program is offering a 12-month paid internship for young people across East Africa.
What You'll Gain:
🔹Hands-on professional experience
🔹Mentorship and career support
🔹Leadership and employability skills development
🔹Professional networking opportunities
🔹Pathways to employment or entrepreneurship
Who Can Apply?
🔸Recent graduates with 0–2 years of experience
🔸Mastercard Foundation Scholars Program alumni
🔸Alumni of Mastercard Foundation programs
🔸Young people aged 18–35
🔸Applicants from Ethiopia, Kenya, Uganda, Rwanda, Tanzania, South Sudan, & Burundi
📅Durations: 12 Months
🔗Apply: https://bit.ly/sclrs26
"If this isn't for you, please share it with others who might be interested."🙏
Follow us👇for more opportunities
@opportunity_alerts
🌟Paid Internship Opportunity: Join Mastercard Foundation Associates Program 2026 for Young Africans🌟
✨Are you a recent graduate looking for paid work experience, mentorship, and career development opportunities? The Mastercard Foundation Associates Program is offering a 12-month paid internship for young people across East Africa.
What You'll Gain:
🔹Hands-on professional experience
🔹Mentorship and career support
🔹Leadership and employability skills development
🔹Professional networking opportunities
🔹Pathways to employment or entrepreneurship
Who Can Apply?
🔸Recent graduates with 0–2 years of experience
🔸Mastercard Foundation Scholars Program alumni
🔸Alumni of Mastercard Foundation programs
🔸Young people aged 18–35
🔸Applicants from Ethiopia, Kenya, Uganda, Rwanda, Tanzania, South Sudan, & Burundi
📅Durations: 12 Months
🔗Apply: https://bit.ly/sclrs26
Follow us👇for more opportunities
@opportunity_alerts
❤1
Simret.exe
#DAY3 of the project Yesterday what I did was that cleaning and organising the complaint letters. So the next part is teaching the AI how to read and remember them.It is going to be implementing text chunking , choosing an embedding model and also generating…
Today’s work takes a lot of my energy 🤧🤧🤧
I taught AI to understand complaints not just read them.I took 12,000 real customer complaints and converted them into numbers using a model called "all-MiniLM-L6-v2." Each complaint chunk becomes 384 numbers that capture its meaning. Similar complaints produce similar numbers so the AI can find relevant ones even when the exact words don't match.
🔜 Next: step connecting this to a language model so it can actually answer questions like "Why are customers unhappy with Credit Cards?" using real complaint evidence.
#RAG #projectupdate #DAY3
Good night 😴 🥱 fams
I taught AI to understand complaints not just read them.I took 12,000 real customer complaints and converted them into numbers using a model called "all-MiniLM-L6-v2." Each complaint chunk becomes 384 numbers that capture its meaning. Similar complaints produce similar numbers so the AI can find relevant ones even when the exact words don't match.
🔜 Next: step connecting this to a language model so it can actually answer questions like "Why are customers unhappy with Credit Cards?" using real complaint evidence.
#RAG #projectupdate #DAY3
Good night 😴 🥱 fams
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Forwarded from Bυɾԋαɳ-Ops (Bυɾԋαɳ | برهان :))
Some people wait for opportunities. Bosses create them :)
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