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)
ARS: Article Retrieval System
Pawsitive Retrieval RAG Project - Erdos Institute Deep Learning Boot Camp - Spring 2024
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
RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
Chat with your PDF files using LLM model and VectorDatabase
This repository deals with vector database preparation.
Elasticsearch demo of naive RAG
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