Faiss Vector Database Python Packages

pymilvus

Python SDK for Milvus Vector Database

pymilvus-test

Python SDK for Milvus Vector Database

faiss-vector-aggregator

This Python library provides a suite of advanced methods for aggregating multiple embeddings associated with a single document or entity into a single representative embedding.

pymilvus-distributed

Python Sdk for Milvus-Distributed

pyragcore

A reusable, modular RAG (Retrieval-Augmented Generation) core library built on FAISS and Ollama

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.

turborag-ahx47

Offline, CPU, RAM RAG engine with quantized vectors (TurboVec), GGUF embedding/LLM models, REST API, MCP server, and multi‑language SDKs.

smartmcp-router

A semantic tool routing proxy for AI agents. Indexes all MCP tools with FAISS embeddings, surfaces only what's relevant. 97% context reduction.

milvus-test

Python Sdk for Milvus; Test version

milvus-one

Python Sdk for Milvus

pymilvus-legacy

Python Sdk for Milvus