Legal Documents Multilingual Semantic Search
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Updated
Mar 24, 2023 - Python
Legal Documents Multilingual Semantic Search
How to create Question-Answering system combining Langchain and OpenAI
Qdrant Vector Database + FastAPI
Bootstrap a Qdrant vector database cluster on Fly.io
Feature extraction + chatbot
A collection of scripts and utilities for working with Qdrant, OpenAI, and embeddings.
findthatbit.com + findthatbit.info
Dockerized AI Chatbot is an open-source project that provides a chatbot powered by artificial intelligence, specifically built using OpenAI's GPT-3 (Language Model) for natural language processing and understanding
Rust App on Qdrant - Vector database
NodeJS Application to ask questions from files by uploading them. I have used open ai chat completion and embeddings. And to store embeddings I have used Qdrant (Vector DB).
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
A Neural Search Tool that helps you find relevant papers to read based on your interests
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.
A semantic and full text search engine UI written in Astro and SolidJS
A chat bot trained on a document.
Have a chat with your Github project!
A repository for training transformer based models
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
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
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