Sophora - AI Reasoning, Function-calling & Knowledge Retrieval
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Updated
Feb 28, 2025 - Pascal
Sophora - AI Reasoning, Function-calling & Knowledge Retrieval
Stateful AI Agent for Knowledge Extraction
Notebook examples for using OpenAI's Assistants API with the file search (knowledge retrieval) functionality.
CareConnect uses state-of-the-art large language models (LLMs) to provide rapid, reliable medical guidance. This project addresses increasing wait times and health misinformation, offering timely assistance and supporting informed decision-making to alleviate the burden on the healthcare system.
Local Retrieval-Augmented Generation (RAG) system built with FastAPI, integrating vector search, Elasticsearch, and optional web search to power LLM-based intelligent question answering using models like Mistral or GPT-4.
Code to make any AI have unlimited context persistent memory. In the example, a software for any AI to read the Uniform Commercial Code of Michigan. A document of 220,000 tokens
🚀 Revolutionize your data interaction with a cutting-edge chatbot built on Retrieval-Augmented Generation (RAG) and OpenAI’s GPT-4. Upload documents, create custom knowledge bases, and get precise, contextual answers. Ideal for research, business operations, customer support, and more!
An end-to-end multi-source knowledge retrieval system using LangChain, FAISS, and OpenAI embeddings. This Retrieval-Augmented Generation (RAG) pipeline intelligently searches across Wikipedia, arXiv, and custom websites, optimizing source selection and delivering precise, real-time results based on query relevance.
A Streamlit-based application that leverages Retrieval Augmented Generation (RAG) to provide accurate answers from Wikipedia content.
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