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
Jupyter notebooks for the short course "Building applications with vector databases"
Improve large language model (LLM) retrieval using dynamic websearch based on blazingly fast query generation from Groq chips ⚡
🤖 DataSciencePilot 🚀 is an innovative chat-based interface designed to interact with custom PDF files. It leverages the power of Pinecone for efficient vector database management and LLaMA-2 for advanced query response capabilities.
console based game based on a llm
RAG-based Streamlit app that uses Langchain, OpenAI Embeddings, GPT, and Pinecone Vector Database to answer questions about a user-provided document
Retrieval Augmented Generation Example with SemaDB
PDF Chatbot, Image Chatbot, Web-Site Chatbot with a Knowledge base. OpenAI , Memory, PostgreSQL
An LLM based Chatbot using Langchain
Multi-model knowledge assistant/QA-Bot based on Langchain, leveraging LLMs, RAG, FastAPI and Gradio
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