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.

• UpdatedJul 8, 2025
• JavaScript

All-in-one platform for search, recommendations, RAG, and analytics offered via API

• UpdatedJan 25, 2026
• Rust

How to create Question-Answering system combining Langchain and OpenAI

• UpdatedJun 8, 2023
• TypeScript

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!

• UpdatedNov 30, 2024
• PHP

NornicDB is a high-performance graph + vector database built for AI agents and knowledge systems. It speaks Neo4j's (Bolt + Cypher) and qdrant's (gRPC) languages so you can use Nornic with zero code changes, while adding intelligent features including a graphql endpoint, air-gapped embeddings, GPU accelerated search, and other intelligent features.

• UpdatedFeb 20, 2026
• Go

Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications

• UpdatedOct 5, 2024
• Python

Qdrant Vector Database on Azure Cloud

• UpdatedMar 11, 2024
• Shell

This is Microsoft Fabric Copilot Workshop

• UpdatedDec 18, 2023
• Jupyter Notebook

A Web app stack written in FastAPI, Qdrant, and React for creating AI projects

• UpdatedNov 16, 2023
• JavaScript

Performing a RAG (Retrieval Augmented Generation) assessment using voice-to-voice query resolution. Provide the file containing the queries, ask the questions, and receive the results via voice.

• UpdatedMar 20, 2024
• Python

Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama

• UpdatedMar 22, 2024
• Jupyter Notebook

Production-ready local deployment of Cheshire Cat AI that delivers enterprise-grade features

• UpdatedJul 8, 2025
• Shell

Is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or PostgreSQL. It offers a high-level interface using FastAPI REST APIs

• UpdatedJan 6, 2026
• Python

Qdrant operator creates and manages Qdrant clusters running in Kubernetes

• UpdatedApr 10, 2024
• C#

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

• UpdatedMar 24, 2025
• Jupyter Notebook

A semantic search engine that transforms your documents into an intelligent, searchable knowledge base using vector embeddings and AI

• UpdatedDec 11, 2025
• Python

The rag pipeline for optimizing dynamic data editing.

• UpdatedOct 30, 2025
• TypeScript

Bootstrap a Qdrant vector database cluster on Fly.io

• UpdatedJun 10, 2024
• Shell

Text to Image & Reverse Image Search Engine built upon Vector Similarity Search utilizing CLIP VL-Transformer for Semantic Embeddings & Qdrant as the Vector-Store

• UpdatedFeb 7, 2026
• Jupyter Notebook

A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.

• UpdatedApr 4, 2025
• Python