RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
-
Updated
Apr 28, 2024 - Python
RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
Retrieval Augmented Generation QnA application with OpenAI and SpringAI
A chatbot, built with Streamlit, that download scientific papers and answer to question related to them. Powered by Groq and LLama3
Have a chat with your Github project!
A chat bot trained on a document.
QDrant Vector Database with Python Tutorials
Retrieval Augmented Generation QnA application with Azure OpenAI and SpringAI
Implemented vector embeddings on the dataset and store them in Qdrant a vector DB. Implemented LLM on the DB that can give contextual answers to the queries. Wraped this LLM as an API using FastAPI and streamlit frontend
Explore how to perform Role Based Access Control in Qdrant Vector Datase
findthatbit.com + findthatbit.info
RAG implementation for https://aidevs.pl course content
Implementing Vector Database on CoNaLa dataset to retrieve program snippets relevant to user queries. This is a very simple simulation of a Vector Database.
Langchain, OpenAI and Streamlit app Data Already embedded, This app demonstrate, persistence database querying(Similarity search). Returns Top 2 -k when a user make a search.
News Observatory
Retrieval Augmented Generation
This repository holds a query engine LLM based on the vector DB of BigBasket products list
Netropolis supports a place where people with shared values can connect digitally to form and operate in a third-place-like community that is neither at home nor at work.
Life Inclusion For Everyone
MedRaga is a medical assistance application aimed at providing accurate and personalized medical information to healthcare professionals. It uses RAG technology to retrieve the latest medical research from trusted sources, augment it with patient data, and deliver personalized diagnoses and treatment plans.
A blog recommendation engine built for text driven static sites
Add a description, image, and links to the qdrant-vector-database topic page so that developers can more easily learn about it.
To associate your repository with the qdrant-vector-database topic, visit your repo's landing page and select "manage topics."