Qdrant Vector Database Python Packages

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

financebench-rag-agent

Multi-agent LangGraph RAG for financial Q&A — 72.7% on FinanceBench under κ=0.932 calibrated judge. RBAC at the vector layer, multi-party HITL on high-stakes answers, self-hosted LLM observability. pip install financebench-rag-agent

bert-classifier

A repository for training transformer based models

nlp-models

A repository for training transformer based models

vector-etl

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

carag

A Powerful Python Library to Build AI Applications with the RAG

simgen-ssg

A blog recommendation engine built for text driven static sites

lore-backend

Lore, an engineering team's decision memory. A GitHub App captures the why behind merged PRs; a LangGraph agent answers /why questions over three memory tiers — Postgres, Qdrant, and a live-fetch tool — behind a guardrail that refuses uncited answers. Groq LLMs, CPU embeddings, self-hosted. No cloud bill.