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.
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
How to create Question-Answering system combining Langchain and OpenAI
This is Microsoft Fabric Copilot Workshop
Qdrant Vector Database on Azure Cloud
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
ChatGPT-like Application using RAG pattern that allows to ask question to my own documents - I Used Semantic Kernel to integrate a LLM (OpenAI) using C# to orchestrate AI pluggins (Azure Cognitive Services). For the document embeddings I used Qdrant for the vector database and Pdfpig to extract the content from the pdfs
A collection of scripts and utilities for working with Qdrant, OpenAI, and embeddings.
Feature extraction + chatbot
Qdrant operator creates and manages Qdrant clusters running in Kubernetes
Legal Documents Multilingual Semantic Search
An innovative application designed to help pharmacists and pharmacy students quickly research FDA-approved drugs by retrieving relevant information from drug labels and adverse event datasets, and providing AI-generated summaries to streamline the learning process
Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama
A repository for training transformer based models
A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.
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
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
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."