Qdrant Python Packages

qdrant-client

Python client for Qdrant vector search engine

docarray

Represent, send, store and search multimodal data

vaultspec-rag

Search code and feature records by meaning through the command line or Model Context Protocol (MCP). Inference runs on your GPU.

mnemostack

Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.

pyqql

Declarative SQL query engine for Qdrant and edge vector databases. Multi-vector dense & BM25 sparse search, hybrid retrieval, CTEs, and MMR in Rust, Python, Node.js, and WebAssembly

embedflow

Zero downtime embedding upgrades

osintgpt

An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing

pyqql-edge

Declarative SQL query engine for Qdrant and edge vector databases. Multi-vector dense & BM25 sparse search, hybrid retrieval, CTEs, and MMR in Rust, Python, Node.js, and WebAssembly

fabri

Local memory + orchestration layer for custom LLM agents: SCOPE-style tactical/strategic memory over execution traces, Qdrant-backed, polyglot subprocess tools, agent-as-tool composition.

serviette

Universal RAG tool

skmemory

Universal AI Memory System — Git-based multi-layer memory with vector search integration.

optivision-rag

Visual-token compression for VLM document retrieval: 448 KB to 3.95 KB per page (113.5x) at 86.7% of baseline nDCG@5. ColPali/ColSmol, PyTorch, Qdrant.

qdrant-operator

Kubernetes operator for Qdrant: Helm-managed clusters, multi-node S3 backups, scheduled backups and restores

openframe-adapters

OpenFrame adapter packages — database and queue drivers implementing openframe-core ports across relational, document, vector, time-series, and graph backends.

openframe-adapters-db-redis

OpenFrame adapter packages — database and queue drivers implementing openframe-core ports across relational, document, vector, time-series, and graph backends.

aquiles-rag

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

django-graph-search

Production-ready semantic vector search for Django — searches across FK, M2M, and reverse relations by traversing your model graph. Pluggable backends: ChromaDB, FAISS, Qdrant.

mitos-adr

LLM-native architecture decision record (ADR) tracking. Prevents Agents from repeating mistakes. SQLite + Qdrant + MCP.

openframe-adapters-queue-kafka

OpenFrame adapter packages — database and queue drivers implementing openframe-core ports across relational, document, vector, time-series, and graph backends.

openframe-adapters-db-mongo

OpenFrame adapter packages — database and queue drivers implementing openframe-core ports across relational, document, vector, time-series, and graph backends.

openframe-adapters-db-postgres

OpenFrame adapter packages — database and queue drivers implementing openframe-core ports across relational, document, vector, time-series, and graph backends.

ovos-qdrant-embeddings-plugin

A qdrant embeddings plugin for OVOS

mm-asset-rag

Multimodal retrieval engine — index mixed assets (PDFs / Office docs / images), search across four routes (text→text, text→image, image→image, hybrid) fused with RRF. Optional grounded LLM answer layer on top. Local-first FastAPI server with bundled web UI.

intelai

Sovereign enterprise RAG & analytics platform — role-scoped persona intelligence, hybrid retrieval (Dense BGE-M3 + BM25 + RRF + Cross-Encoder reranking), GraphRAG-lite, and Monte-Carlo forecasting. FastAPI + React.