A guide to creating the "chatbot that responds to queries based on the content of uploaded PDF or Text files... built using Langchain, FAISS (Facebook AI Similarity Search... developed by Meta for efficient similarity search and clustering of dense vectors), and OpenAI’s GPT-4... found at ai-docreader.streamlit.app...".
The piece first lists use cases under the headings Summarization & Information Extraction, and provides the github repo before walking through the setup. It cautions that "to enhance the tool for a specific use-case or higher quality delivery, further refinement will be required ... prompt engineering... more robust vector databases, and embedding models. One may also consider model fine-tuning".
More Stuff I Like
More Stuff tagged ai , chatbot , llm , langchain , faiss
See also: Digital Transformation , Innovation Strategy , Science&Technology , Large language models
MyHub.ai saves very few cookies onto your device: we need some to monitor site traffic using Google Analytics, while another protects you from a cross-site request forgeries. Nevertheless, you can disable the usage of cookies by changing the settings of your browser. By browsing our website without changing the browser settings, you grant us permission to store that information on your device. More details in our Privacy Policy.