RAG - HTML Report with Pinecone vector database

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Hi there, To assist you with your project involving prompt engineering for your HTML report using vector databases like Pinecone and ChromaDB, I propose a structured approach. We will focus on four main tasks: integrating your HTML report with Pinecone for vector storage, implementing various embeddings using libraries like Hugging Face, replicating the process with ChromaDB, and scraping a web page to save it in vector format for Q&A purposes. My goal is to enhance the accuracy of your responses based on your prompts. Could you clarify if there are specific types of embeddings you want to prioritize for your project? I am a senior developer with 7 years of experience, having worked on over 10 projects involving machine learning and vector databases. My expertise includes developing effective data pipelines, optimizing vector storage solutions, and implementing machine learning models for real-world applications. I understand the importance of achieving high-quality results based on your specific requirements. Skills: - Machine Learning - Vector Databases - ChromaDB - Prompt Engineering - Data Scraping - Embeddings. I am available to discuss different approaches and provide a demo if needed, despite the NDA restrictions. Please initiate a chat to further discuss the project. Regards, Akhilesh

Hello buddy, I got this, I'm already working on RAG and LLMs with a huge database and for case like yours I can give you my expertise in this and will build you a perfect Vector DB as you want. My data processing skillset is very efficient and fast and for your task since there is HTML you need a guy who can handle this unstructured data and create a perfect long context text embeddings for perfect type of retrieval. I have a good experience in Vector DB using Chroma and Elasticsearch ( In case you need the fastest retrieval). See you in message section lets' complete this fast. Thanks.

Hi, I’m an experienced Data Scientist with a strong focus on AI, ML, and Retrieval-Augmented Generation (RAG). I’ve worked extensively with vector databases (Pinecone, ChromaDB), embeddings (Huggingface, OpenAI), and prompt engineering using LangChain. I’m confident in improving the accuracy of your HTML report-based system. Deliverables: HTML Report + Pinecone: Refine your current code to boost response accuracy based on prompts, optimizing embeddings and vector upserts for better answers. Pinecone with Different Embeddings: Implement alternative embeddings (Huggingface, OpenAI) to maximize precision. ChromaDB Implementation: Replicate and optimize the process with ChromaDB for enhanced results. Web Scraping + Vector Storage: Scrape a web page, convert it to vectors, and store them for high-quality Q&A retrieval. Why Me? I have hands-on experience with Pinecone and ChromaDB, and I’ve solved similar challenges using RAG techniques. I understand your issue with poor results and will ensure optimized, accurate outputs tailored to your prompts. I’ll efficiently complete the tasks within your budget (400/hr for 4 hours). Looking forward to helping you achieve top-notch results! Best, Umais Siddiqui

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Hello , i am experienced ai/ml expert with a deep knowledge of RAG and vector databases like redis, chroma and pinecone . I can help you with these tasks as i have an experience and i will guide you as well . I am new here but i am already working in tech industry from 3 years . Let’s connect in a meeting where we will discuss this and make a plan and debug the issues .

With over 7+ years of experience, focusing on Python development, I bring a unique set of skills that positions me as the ideal candidate to tackle your tasks. As a seasoned professional, my ability to provide pixel-perfect web development coupled with my proficiency in Open-Source CMS presents great synergy for this project. Additionally, I have experience with e-commerce web stores and UI/UX design which allow me to deftly navigate HTML formats like the CIBIL credit report you have shared. On the technical side, I'm no stranger to vector databases and can confidently work with ChromaDB and Pinecone. Moreover, my profound understanding of AI and ML aligns perfectly with your project needs of generating embeddings and utilizing them with libraries like Hugging Face. Dovetailing with task four, web scraping is in my wheelhouse as well. Importantly, every project for me is about providing quality outcomes, not just ticking off the to-do list. Lastly, my commitment extends beyond project completion; your continuous satisfaction matters to me. Hence, I include free bug-support alongside value-added services for growth even after delivering projects. Choosing to entrust this project to me will not only save you time and money but also guarantee high-quality results that meet your exact expectations. If absolute results from RAG based on your prompts are what you're after then look no further - let's get started!

Hello, i have a extensive experience in GENAi development and i can be very helpful in your work. Do let me know more about your task. Regards

As an experienced full-stack developer, I not only specialize in Python—a language central to your project—but also hold a keen emphasis on Artificial Intelligence. Your project aligns perfectly well with my skillset as the work entails conducting operations through embeddings like huggingface which I am well-versed with. Moreover, working extensively with HTML is one of my core competencies. By leveraging my learning from your HTML reports, I can ensure high-quality work in Pinecone and Chroma db to generate intuitive vectors for robust Question and Answer and other learning purposes you're aiming for. I understand your struggle with unsatisfactory results from the existing code embedding vectors into pinecode, but worry not. Combining my profound chops in artificial intelligence and language models such as GPT, I can certainly improve upon those results. In fact, with my expertise, these tasks may take much less time than you expect – what might be perceived as few hours for others could be absolutely optimized by my skills and proficiency garnered over the years. In a nutshell, choosing me is choosing someone who doesn't only get the job done but excels at it - optimizing efficiency without sacrificing quality. Let's leverage both our strengths in AI Pythin programming to deliver an exceptional HTML report experience backed by efficient databases and embeddings

I’m an experienced prompt engineer with a strong background in RAG systems and vector databases like Pinecone and ChromaDB. I’ve completed many RAG projects, so I’m confident in delivering the precise results you need. For your project, I will integrate your HTML report with Pinecone and provide code for various embeddings, including those from Hugging Face. I will also set up the same system using ChromaDB and handle web scraping and vectorization for effective Q&A. My rate is $400/hr, and I’m available for the 4 hours you’ve budgeted. I look forward to working on this project and providing the results you’re looking for.