-
Updated
Jul 16, 2024 - Python
all-minilm-l6-v2
Here are 10 public repositories matching this topic...
MediChat: An AI-powered medical chatbot using the Llama-2-7B-Chat model for precise clinical responses. Integrates Chroma DB and all-MiniLM-L6-v2 embeddings trained on medical literature, including texts like Clinical Emergency Medicine and Gale Encyclopedia. Accurate, fast, and reliable for healthcare queries.
-
Updated
Jul 5, 2024 - Jupyter Notebook
To make LLM faster we need faster retrieval system. Here comes Embedding Quantization. Embedding quantization is great technique to save cost on Vector DB, significantly faster retrieval while preserving retrieval performance.
-
Updated
Jun 9, 2024 - Jupyter Notebook
👽SFSeeker - an AI assistant with a semantic engine/question writing tutor in Sci-Fi Stack Exchange service
-
Updated
Apr 28, 2024 - Python
A RAG to deal with multiple documents simultaneously using Weaviate, Mistral-7B-v0.1 and Langchain.
-
Updated
Jul 16, 2024 - Jupyter Notebook
The Llama-2-GGML-CSV-Chatbot is a conversational tool leveraging the powerful Llama-2 7B language model. It facilitates multi-turn interactions based on uploaded CSV data, allowing users to engage in seamless conversations.
-
Updated
May 27, 2024 - Python
-
Updated
Jan 22, 2024 - Python
Llama2-Medical-Chatbot is a medical chatbot that uses the Llama-2-7B-Chat-GGML model and the pdf The Gale Encyclopedia of Medicine, Volume 1, 2nd Edition. It is still under development, but it has the potential to be a valuable tool for patients, healthcare professionals, and researchers.
-
Updated
May 29, 2024 - Python
Implementing Vector Database on CoNaLa dataset to retrieve program snippets relevant to user queries. This is a very simple simulation of a Vector Database.
-
Updated
May 30, 2024 - Jupyter Notebook
Streamlit chatbot app that can answer questions based on a pdf. see the readme for more information
-
Updated
Dec 24, 2023 - Python
Improve this page
Add a description, image, and links to the all-minilm-l6-v2 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the all-minilm-l6-v2 topic, visit your repo's landing page and select "manage topics."