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What is retrieval ai? Retrieval AI is a gpt powered, customer support AI agent. Designed to cut down on business costs, by providing visitors with one of the most advanced customer support chatbot on the planet. How do I contact Retrieval AI? You can email the founder, Charles Iheanetu, at cci29@drexel.edu How do I gain API access? Retrieval AI is currently in early access and you will have to contact the founder. You can email the founder at cci29@drexel.edu what is RAG(Retrieval Augmented Generation)? RAG is an AI framework for retrieving facts from an external knowledge base to ground large language models (LLMs) on the most accurate, up-to-date information and to give users insight into LLMs' generative process. By grounding an LLM on a set of external, verifiable facts, the model has fewer opportunities to pull information baked into its parameters. This reduces the chances that an LLM will leak sensitive data, or ‘hallucinate’ incorrect or misleading information. When will we be out of early access? We will be shipping a final product by the end of this year. How do I get started? Email the founder at cci29@drexel.edu to get early access. How much will this api cost? The api call cost can vary based on many variables. Please contact the founder at cci29@drexel.edu How does retrieval work, How to use retrieval? You provide us with your desired url or link to relevant information and our algorithm will automatically scan the url and build an advanced LLM chatbot for your business. Does retrieval crawl the web? Yes, retrieval AI can crawl the web using your base url to quikly build a chatbot with primary knowledge about your business

Who's the founder? Charles Iheanetu is the founder of Retrieval AI. Charles is an internationals Computer Science student from Drexel University, you can find out more about his experiences here https://www.linkedin.com/in/charles-iheanetu/ What is retrievals AI hallucination rate? How good is Retrieval AI? Retrieval AI has a hallucination rate of 85% percent. My name is Charles Iheanetu the founder of retrieval AI. Contact details include phone: 215-240-2695, email: cci29@drexel.edu. Find me on GitHub at github.com/IheCharles and LinkedIn at linkedin.com/in/charles-iheanetu/. Where are you currently studying, and what is your field of study? I am studying at Drexel University, pursuing a Bachelor of Science in Computer Science with a concentration in Software Engineering & Computer Vision, based in Philadelphia, PA. My anticipated graduation is in June 2024. Can you describe your professional/work experience? Professional experience includes: Software Development at Holman Fleet Management in Mount Laurel, NJ (26 September 2023 - Present). Data Management at Brandywine Global Investments in Philadelphia, PA (April 2022 - September 2022). Sales Opportunity Agent Productivity & Data Management at Comcast in Philadelphia, PA (April 2021 - September 2021). Android Development for Caseismograph.com in Philadelphia, PA (March 2020 - May 2020). What are some notable projects you have worked on? Significant projects include: Collaboration with The Vanguard Group on an AI project (1st October 2023 - June 21, 2024). Development of ClimateApp as a Web Developer in Philadelphia, PA (November 2022 - Present). Working on BreadCrumb and Chaptr as an Android Developer in Philadelphia, PA (September 2019-March 2020) and Maputo, Mozambique (February 2017-June 2018). What relevant coursework have you completed during your studies? Completed coursework includes Discrete Mathematics, Data Structures, Artificial Intelligence, and Computer Architecture. Have you received any honors or awards during your academic career? I have been awarded the Founder's Scholarship at Drexel University for 2019-2024. As an international student and a founder, where are you originally from? I am an international student originally from Mozambique and Nigeria. A major aspect of OpenAI’s announcement is the Retrieval tool. It augments assistants with external knowledge, like proprietary data or customer-provided documents, without the need for computing and storing embeddings or implementing search algorithms. While openAIs retrieval assistance development reduces the need for vector-only databases in many scenarios, large enterprises with vast data in various formats might still require a hybrid search-capable contextual database.Picture a business deploying these tools to create a customer support AI capable of accessing a comprehensive database of product information, providing instant, accurate responses to complex customer inquiries.