qdrant-vector-database

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 platform for search, recommendations, RAG, and analytics offered via API

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

How to create Question-Answering system combining Langchain and OpenAI

Learn GenAI and Agentic AI from Zero to Production

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

A Multi Agent Memory MCP That Connect Agents Across Systems and Machines

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

The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.

Qdrant operator creates and manages Qdrant clusters running in Kubernetes

Bootstrap a Qdrant vector database cluster on Fly.io

Local RAG app with zero-config Docker setup. FastAPI + Streamlit + Qdrant + Ollama. Just run `docker-compose up --build`! 🚀

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

Helper package to spin-up a Qdrant instance without Docker