Reverse Dependencies of faiss-cpu

The following projects have a declared dependency on faiss-cpu:

• infervcpy — Python wrapper for fast inference with rvc
• instruct-qa — Empirical evaluation of retrieval-augmented instruction-following models.
• ipymock — A Tool that Allows You Run PyTest within Jupyter Notebook Cells
• ir-axioms — Intuitive interface to many IR axioms.
• isek — ISEK Distributed Multi-Agent Framework
• itera — A beautiful git changelog generator with semantic search capabilities
• itp-interface — Generic interface for hooking up to any Interactive Theorem Prover (ITP) and collecting data for training ML models for AI in formal theorem proving.
• ivystar — python tools package of ivystar
• jarvis-ai-assistant — Jarvis: An AI assistant that uses tools to interact with the system
• jrvc — Libraries for RVC inference
• jshbtf0302 — State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
• jupyter-ai — A generative AI extension for JupyterLab
• jyflow — Your personalized newsfeed for keeping up with research
• kf-d3m-primitives — All Kung Fu D3M primitives as a single library
• kgtk — no summary
• kilosort — spike sorting pipeline
• KNNN — An implementation of KNNN algorithm
• knowledge-base-guardian — An LLM application to safeguard the consistency of documents in a knowledge base
• knowledgegpt — A package for extracting and querying knowledge using GPT models
• koko-cli — no summary
• kozmoai — A Python package with a built-in web application
• kube-copilot — Kubernetes Copilot
• kwwutils — Add your description here
• labelkit — build unstructured to structured data transformation pipelines
• lamini — Build on large language models faster
• lang2sql — Lang2SQL - Query Generator for Data Warehouse
• langchain_1111_Dev_cerebrum — Building applications with LLMs through composability
• langchain-by-johnsnowlabs — Building applications with LLMs through composability
• langchain-fmp-data — An integration package connecting FmpData and LangChain
• langchain-ibis — Building applications with LLMs through composability
• langchain-ray — LangChain leveraging Ray.
• langchain-xfyun — 在LangChain中流畅地使用讯飞星火大模型
• langchaincoexpert — Building applications with LLMs through composability
• langchainmsai — Building applications with LLMs through composability
• langchainn — Building applications with LLMs through composability
• langflow — A Python package with a built-in web application
• langflow-law — A Python package with a built-in web application
• langflow-nightly — A Python package with a built-in web application
• langinfra — A Python package with a built-in web application
• langpack — A library to pakcage and deploy langugage model apps
• langplus — Building applications with LLMs through composability
• languageassistant — An LLM-powered language learning assistant
• langwatch — Python SDK for LangWatch for monitoring your LLMs
• laserdato — A small example package
• latentis — A Python package for analyzing and transforming neural latent spaces.
• lazyllm — A Low-code Development Tool For Building Multi-agent LLMs Applications.
• lazyllm-beta — A Low-code Development Tool For Building Multi-agent LLMs Applications.
• ldsi — LDSI
• learn-genai — A package to learn Generative AI through practical examples
• lesa — A CLI tool to converse with any document locally using Ollama.
• lib-resume-builder-AIHawk — A package to generate AI-assisted resumes using GPT models
• libre-chat — Free and Open Source Large Language Model (LLM) chatbot web UI and API. Self-hosted, offline capable and easy to setup. Powered by LangChain and Llama 2.
• lightning-ir — Your one-stop shop for fine-tuning and running neural ranking models.
• lightrag — The Lightning Library for LLM Applications.
• linktransformer — A friendly way to do link, aggregate, cluster and de-duplicate dataframes using large language models.
• llm-agent-toolkit — LLM Agent Toolkit provides minimal, modular interfaces for core components in LLM-based applications.
• llm-bot — Python library for developing LLM bots
• llm-explorer — A Lakehouse LLM Explorer. Wrapper for spark, databricks and langchain processes
• llmebench — A Flexible Framework for Accelerating LLMs Benchmarking
• llmprototyping — A lightweight set of tools to use several llm and embeddings apis
• llmutils — A few utility classes for working with LLMs
• llmvm-cli — Command Line LLM with client-side tools support.
• llmware — An enterprise-grade LLM-based development framework, tools, and fine-tuned models
• llmyaml — YAML-based LLM configuration and execution
• lmm-tools — Toolset for Large Multi-Modal Models
• local-deep-research — AI-powered research assistant with deep, iterative analysis using LLMs and web searches
• localrag — Chat with your documents locally.
• loguru-cli — An interactive commandline interface that brings intelligence to your logs.
• longtrainer — Production Ready LangChain
• lookaside — Lookaside cache in the LLM era
• lotus-ai — lotus
• maeser — A package for building RAG chatbot applications for educational contexts.
• magna-search — AI-powered embedding similarity search for documents
• mainframe-orchestra — Mainframe-Orchestra is a lightweight, open-source agentic framework for building LLM based pipelines and self-orchestrating multi-agent teams
• manas-ai — A framework for building LLM-powered applications with intelligent agents, task decomposition, and RAG
• matchain — Record linkage - simple, flexible, efficient.
• materials-eunomia — Chemist AI Agent for Developing Materials Datasets with Natural Language Prompts
• mauve-text — Implementation of the MAUVE to evaluate text generation
• mcp-web-search — A mcp plugin for web search
• mdchat — a CLI that lets you chat with your markdown notes
• med-discover-ai — Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.
• meddiscover — MedDiscover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.
• meerkat-ml — Meerkat is building new data abstractions to make machine learning easier.
• megabots — 🤖 Megabots provides State-of-the-art, production ready bots made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵
• memories-dev — Collective Memory Infrastructure for AGI
• memoripy — Memoripy provides context-aware memory management with support for OpenAI and Ollama APIs, offering structured short-term and long-term memory storage for interactive applications.
• metagpt — The Multi-Agent Framework
• metagpt-simple — The Multi-Agent Framework
• MeUtils — description
• microllama — The smallest possible LLM API
• mindsql — Text-2-SQL made easy in just a few lines of python.
• mini-rec-sys — Toolkit to train and evaluate models for search and recommendations.
• mistral-vectordb — High-performance vector database with Mistral AI embeddings support
• moatless — no summary
• moatless-tree-search — no summary
• monocle-apptrace — package with monocle genAI tracing
• mstr-robotics-magerdaniel — MicroStrateg(P)ython
• multi-swarm — A framework for creating collaborative AI agent swarms
• muzlin — Muzlin: a filtering toolset for semantic machine learning
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models