Qdrant Python Packages

qdrant-client

Python client for Qdrant vector search engine

docarray

Represent, send, store and search multimodal data

qql-cli

SQL-like query language and CLI for Qdrant vector search engine

skmemory

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

vector-inspector

A comprehensive desktop application for visualizing, querying, and managing vector database data

claude-kb

Universal knowledge base with Qdrant for Claude Code integration

code-weaver

Extensible MCP server for semantic code search with plugin architecture supporting multiple embedding providers, vector databases, and data sources.

aquiles-rag

Aquiles-RAG is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or PostgreSQLRAG. 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.

vectorpin

Verifiable integrity for AI embedding stores.

synaptic-memory

Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.

embex

High-performance infrastructure libraries built in Rust, with seamless bindings for Python, Node.js, and WebAssembly.

evret

Evals framework for Information Retrieval Systems

ragwire

Production-grade RAG toolkit — ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction, hybrid search, and SHA256 deduplication.

annal

Semantic memory server for AI agent teams

engram-search

High-recall conversational memory retrieval. 98% R@5 on LongMemEval, 94% on LoCoMo — no LLM required. Local-first, cloud-ready.

memory-agent

A Python library for advanced memory management in AI agent applications

okazaki

Github Automation Package in Python Powered By AI

osintgpt

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

vector-etl

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

bridgetime

High-performance infrastructure libraries built in Rust, with seamless bindings for Python, Node.js, and WebAssembly.

recollectx

Belief-centric memory layer for agentic AI systems

bestrag

bestrag: Library for storing and searching document embeddings in a Qdrant vector database using hybrid embedding techniques.

deeprecall

Recursive reasoning engine for vector databases, powered by RLM.