Reverse Dependencies of faiss-cpu

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

• My-question-rag — A pipeline for question answering and retrieval-augmented generation (RAG)
• myla — A local implementation of OpenAI Assistants API: Myla stands for MY Local Assistant
• Naan — no summary
• naima-lab — Add your description here
• nazca — Python library for data alignment
• nbx-ai — Next generation of personal knolwedge management
• nbx-cpu — Next generation of personal knolwedge management
• nbx-gpu — Next generation of personal knolwedge management
• nChain — nchain is a flexible and efficent framework to create LLM bots using embeddings over extensible dataset
• nearness — An easy-to-use interface for (approximate) nearest neighbors algorithms.
• NeighborBlend — no summary
• nemo-toolkit — NeMo - a toolkit for Conversational AI
• neogpt — NeoGPT: Chat effortlessly with Documents, YouTube Videos,Code, and Social Media Chats. Your go-to for quick and smart interactions! 🤖💬
• nessai — Nessai: Nested Sampling with Artificial Intelligence
• nessie — Annotation error detection and correction
• NeuroQRS — NeuroQRS (Neuro Query Recommendation System) is Faiss + LLM based query recommender with auto-improvement using closed feedback loop
• nexus-deep-learning — A modular deep learning library for implementing AI research papers
• nimble-raccoon — A slim and fast implementation of the RACCOON clustering library.
• nlp — HuggingFace/NLP is an open library of NLP datasets.
• nltkor — no summary
• nnn-retrieval — Simple and efficient training-free methods for correcting errors in contrastive image-text retrieval!
• noba-mauve — Unit test your writing
• NodeRAG — NodeRAG, a graph-centric framework introducing heterogeneous graph structures that enable the seamless and holistic integration of graph-based methodologies into the RAG workflow
• nonebot-plugin-chatpdf — A nonebot plugin for chatpdf
• nonebot-plugin-nailongremove-base — 识别目标并撤回图片插件
• notebook-copilot — The Bridge from Thoughts to Well-Crafted Jupyter Notebook
• nxlu — Natural Language Understanding of Network Topology
• OCAT — A new single-cell analytics framework
• offlineyoutube — A YouTube video search and management tool with a Gradio interface
• ollamasearch — A Python package for intregating ollama with web with Web Serach and RAG.
• ood_detectors — no summary
• oodeel — Simple, compact, and hackable post-hoc deep OOD detection for alreadytrained tensorflow or pytorch image classifiers.
• open-retrieval — A retrieval package build on top of Open source models
• openagi — Making the development of autonomous human-like agents accessible to all
• openbb-agents — LLMs X OpenBB Platform
• openfinance — an open financial agent framework powered by llm
• openssa — OpenSSA: Small Specialist Agents for Industrial AI
• oplangchain — langchain for OpenPlugin
• opplx — no summary
• optilab — Simple framework for optimization functions and metamodels
• orbit-cpu — cpu algorithm for target centric clustering for dense embeddings
• own-knowledge-gpt — Custom Knowledge GPT
• paclas — A treasure chest for visual recognition powered by PaddlePaddle.
• paddle-pipelines — Paddle-Pipelines: An End to End Natural Language Proceessing Development Kit Based on PaddleNLP
• paddleclas — A treasure chest for visual recognition powered by PaddlePaddle.
• parametric-umap — A streamlined and fast implementation of parametric UMAP using PyTorch and FAISS
• parvus — A quantum-inspired data compression and semantic search system
• pdf2podcast — A Python library to convert PDF documents into podcasts
• perception — Perception provides flexible, well-documented, and comprehensively tested tooling for perceptual hashing research, development, and production use.
• phantom-wiki — On-Demand Datasets for Reasoning and Retrieval Evaluation
• phinitydata — A package for generating synthetic data for LLMs
• pimmi — Python IMage MIning
• plainqafact — A framework for evaluating plain language summaries using question answering
• pleach — A Python package with a built-in web application
• plugnplai — Connect plugins to AI
• plurally — no summary
• pocketgroq — A library for easy integration with Groq API, including web scraping, image handling, and Chain of Thought reasoning
• polymind — PolyMind is a customizable collaborative multi-agent framework for collective intelligence and distributed problem solving.
• portainerlang — no summary
• primeqa — State-of-the-art Question Answering
• prompt-declaration-language — Prompt Declaration Language
• prompt2model — A library for distilling models from prompts.
• promptflow-vectordb — Prompt flow tools for accessing popular vector databases
• promptia — Promptia is a Python library designed to streamline the management and generation of prompts for Large Language Models (LLMs).
• PromptMeteo — Enable the use of LLMs as a conventional ML model
• pupil — Active learning platform
• pureml-llm — no summary
• pxgpt — Your personal, powerful and private GPT.
• py_nl2sql — A toolkit for converting natural language to SQL statements.
• py2ls — py(thon)2(too)ls
• pyfirst — Factor Importance Ranking and Selection using Total Indices
• pyjedai — An open-source library that builds powerful end-to-end Entity Resolution workflows.
• pynbx — Next generation of knolwedge management
• pyparc — PARC - Piecewise Affine Regression and Classification
• pyreal — Library for evaluating and deploying human readable machine learning explanations.
• pysemantic-search — A semantic search library using FAISS and multiple database backends.
• pyserini-indexer — Helper application for building search indexes with pyserini
• pyserini-install — A Python toolkit for reproducible information retrieval research with sparse and dense representations
• pyspark-ai — English SDK for Apache Spark
• pytorch-clip-interrogator — Prompt engineering tool using BLIP 1/2 + CLIP Interrogate approach.
• pytorch-metric-learning — The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
• qnabot — Create a question answering over docs bot with one line of code.
• questionnaire-mistral — no summary
• quivr-core — Quivr core RAG package
• raft-llm — A brief description of your package
• rag-doc-search — This package offers a lightweight and straightforward solution for implementing Retrieval-augmented generation (RAG) functionality with large language models (LLMs).
• RAG-easy — A simple and secure RAG framework to rag any LLM model with ease.
• rag-pipeline — A library for Retrieval-Augmented Generation with Azure OpenAI
• ragalonepack — A Python package for RAG pipelines using OpenAI and FAISS.
• ragasas — A package that can be used to create RAGs with a single line of code.
• RAGatouille — Library to facilitate the use of state-of-the-art retrieval models in common RAG contexts.
• ragbuilder — RagBuilder SDK - Create optimal Production-ready RAG pipelines
• RAGFast — its a python llm framework to build the rag apps
• ragindex — no summary
• ragnosis — LLM-retrieval based knowledge grounding
• rago — Rago is a lightweight framework for RAG
• ragoon — RAGoon : High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized indexes processing ⚡
• ragpack — A Python package for RAG pipelines using OpenAI and FAISS.
• ragpdf — Retrive PDF files context for your LLMs
• ragpy-new — no summary