LLM（RAG) Engineer Project

Hi, I have +7 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, Please contact me to discuss more. Have a nice day

Hello there I am a GenAI engineer and i have a huge experience with LLM projects. I can help you to implement your RAG at ChatGPT.i can handle this project as required. Please contact me for more details. Kind regards Ilyasse

We're excited to express our keen interest in collaborating on your Langchain-based requirements. F(x) Data Labs, a prominent data science company, excels in full-stack development, AI, and machine learning. Highlighted below are a few of our past projects showcasing our capabilities: Project: Browser Event Detection Objective: Conduct question-answer interactions using website HTML code. We collected data from various travel websites and utilized Langchain to create a chatbot for performing question and answer tasks. Technologies Used: Python, Langchain, OpenAI, Vectorstore DB (Faiss, Chroma), Selenium, BeautifulSoup, AWS (DynamoDB database) Project: ChatPDF Objective: Provide users with a convenient way to extract relevant information from a PDF file by asking questions. Technologies Used: React (Front-end), Python, FastAPI, Redis (Back-end), LangChain (OpenAI model, HuggingFace Embedding model) Project: AI-Tutor Objective: Simplify Python language learning through an interactive platform leveraging OpenAI and Langchain. Users receive extensive Python tutorials and practice tailored interviews. Technologies Used: OpenAI, Langchain, Python Let's schedule a call to discuss further.

Hi I'm machine learning engineer.I have good experience in advance concept of rag using langchain . I'm very excited to work with you.I'm waiting for your kind response Thnkx

Hi Client, I have extensive experience in LLM(RAG) chatbot. I could deliver you the perfect result in short time. If you contact with me, I will show you my RAG chatbot. I could train it according to your any requirements. Best Regards, Marcos.

As a Senior Full-stack Developer, I understand the nuanced challenges and varied skillset required to implement specialized features like RAG in unique architectures such as Langchain at ChatGPT. My five years of extensive experience working with React , combined with my in-depth knowledge in Python, directly align with your project requirements. My comprehensive range of skills garnered over time makes me an ideal candidate not only for implementing your desired RAG feature but also for navigating any potential roadblocks along the way. Coupled with my technical proficiency is my commitment to quality work which guarantees my utmost dedication towards realizing your vision on time and within budget. With me on board, your ChatGPT project will be transformed into an efficient platform with streamlined user engagement via a powerful RAG feature. Look forward to positively impacting your project!

I have already enough experiences in langchain rag chatbot. opeanai api, mixtral, gemini, claude + your own data => AI powered chatbot I can explain to you anything. Through chatting, you can know it. I will give you good result.

With a track record of successful implementations in similar projects, our experienced engineer is ready to contribute to the LangChain RAG implementation at ChatGPT. Our strengths lie in precise execution, problem-solving abilities, and a commitment to quality. We are eager to discuss how we can add value to your project. Rest assured, 24*7 support is available.

As an experienced LLm and proficient engineering expert, I'm keen to delve deeper into your project. Please feel free to reach out to me so we can discuss your requirements further. Looking forward to connecting with you.

Dear Hiring Manager. I've read your requirements carefully and I want to tell you I'm confident with your project. As you can see, I'm a ChatGPT & web developer. I've experienced some ChatGPT projects using langchain. I will tell you about my previous work. - I developed a chatbot that chats with users based on LinkedIn posts via emails. So first, the chatbot scrapes the LinkedIn posts and summarizes it and sends it to the user via Google mail. And if there is a call schedule in the chat history, it schedules a meeting using google calendar. In this project, I used Google APIs. And also I've used some vector stores in langchain frameworks like Pinecone, faiss and elastic search. - I develop a chatbot that chats with users based on the uploaded documents. In this project, I used aws dynamodb and aws s3 bucket for saving data. And I used pinecone vector store for searching. I'm sure that my skills and my previous work will help you and your project. So I can start your project right now and I will dedicate 40+ hours per week if you want so I will deliver result asap. Let's discuss more about your project via chat. I will wait for your reply. Best Regards

Hello, As a senior AI developer I have a vast experience in RAG. I have developed a lot of chatbot using RAG and vectorDB and Pinecone. Looking forward to working with you. Nahuel Cabrera

I am an experienced Data Scientist specializing in NLP with over 2 years of hands-on experience in data analysis, machine learning, and AI applications. Currently pursuing an MSc in Data Science, I am excited about leveraging data-driven insights for business growth. The proposed integration of Retrieval-Augmented Generation (RAG) involves a streamlined indexing process. We load data using DocumentLoaders, split large documents using Text splitters for efficient indexing and model input, and store/index the splits using VectorStore and Embeddings models. For retrieval and generation, a Retriever fetches relevant data based on user input, and a ChatModel / LLM generates responses using a prompt combining the question and retrieved data.

I can build it in 7 days. This will include 1. Creating fastapi endpoint which wil give the output as response 2. Handling the database

EXPERT IN Python, LangChain and LLM Prompt Engineering DEAR EMPLOYER, I’ve completed the exact same projects before successfully. Awarding me will be the fastest way to complete your task with the best rates possible. I CAN ASSURE YOU 100% THAT WE ARE FULLY CAPABLE OF EXECUTING ANY LEVEL OF TASK/PROJECT BASED ON THE SKILL REQUIRED. I am fully confident about our skills and my understanding of the project description and we are ready to go through any test or sample task you assign to acquire your trust. Let me know when are you available for an initial 15-30-minute discussion (FREE OF CHARGE) so we can discuss the requirement in detail and I can walk you through the mentioned systems to acquire your trust in my skill. REST ASSURED YOUR WORK IS IN VERY SAFE AND PROFESSIONAL HANDS. THANK YOU

Greetings, I hope this proposal finds you in excellent health. Welcome to my profile, Home to Professional and Quality services with 100% customer satisfaction guarantee. I'm a Certified & Experienced Expert. Dear Client, I take this opportunity to inform you that i have KEENLY gone through all your project requirements as given in your project description and I confirm to you that i can perfectly deliver as instructed. Being in possession of all CLEARLY STATED required project skills (Python, LLM Prompt Engineering and LangChain) as this is my area of professional specialisation having completed all Certifications and developed adequate experience in the same area, I hereby humbly request you to consider my bid for Professional, Quality and Affordable services always. STRICT TIMELY DELIVERY & UNLIMITED REVISIONS. Kindly Message Me We Discuss More About The Project and seal the contract. Welcome and Thank-you.

Hey man, I just did that in a project. Can send you the code. I would be glad to help you in this task!

I have experience creating agents using Langchain for RAG from SQL and Vector Databases in my office.

Hi, Just finished couple days ago a RAG project combined to a Telegram bot. So can help you bring your idea to life. - Where the data come from? - Dara will be updated? - Why do you choose langchain? Can I propose another depending on your needs? Let's discuss to make it happen! Yannick