A chatbot powered by a vector database containing all US supreme court cases
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Updated
Jun 30, 2023 - Python
A chatbot powered by a vector database containing all US supreme court cases
Utilizing Redis Vector Similarity Search, this demo project streamlines expense categorization from bank transactions. The approach harnesses pre-trained models, sidestepping the need for finetuning. This ensures efficient, accurate expense categorization without complex model adjustments
An example of Named-entity Recognition and relation mapping using an LLM and Vector Database. Also includes a Branching Hybrid-Search Chatbot to utilize extracted relations.
A GPT powered CLI chatbot to talk with your speeches 🤷🏾♂️
Python 3.10-slim with VectorDB (vectordb2==0.1.9) and certain models initialized, split by image tag for efficiency.
The open-sourced all-in-one cookbook for Retrieval Augmented Generation (RAG)
This project is based on the Cocktail Recommendation System, which utilizes the Retrieval-Augmented Generation (RAG) approach to provide users with personalized cocktail recommendations based on their queries.
Pawsitive Retrieval RAG Project - Erdos Institute Deep Learning Boot Camp - Spring 2024
Jupyter notebooks for the short course "Building applications with vector databases"
Simple conversational agent with LLM and RAG
ARS: Article Retrieval System
example portfolio for chatbots made with streamlit, u need to use your OpenAI API key to start a chat
Trained chat-gpt 3.5 turbo model on 1000+ FAQs for students by vectorizing data using Pinecone DB. Used Langchain API & Reddit API for embedding & querying data, hosted w/ AWS Elastic Beanstalk.
"if-then-else" over topics made up of free-form sentences. Build conversations, not LLM chains!
NoSQL project
Streamline PDF data retrieval with PDFIntellect, harnessing the intelligence of LLMs via an intuitive Streamlit interface.
LangChain is a framework, which is very helpful and easy to build applications based on available Large Language Models.
Building and Deploying LLM models
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