Reverse Dependencies of faiss-cpu

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

• 3m — 3m
• AdalFlow — The Library to Build and Auto-optimize LLM Applications
• adaptive-classifier — A flexible, adaptive classification system for dynamic text classification
• agential — A flexible agent library.
• Agentx — AgentX: Seamlessly integrate intelligent agents into your projects. Empower your applications with advanced AI capabilities.
• ai-db — Analyze your unstructured data
• ai-parrot — Live Chatbots based on Langchain chatbots and Agents Integrated into Navigator Framework or used into any aiohttp applications.
• aidriver — AIDriver
• aipaze — A framework for connecting LLMs to external tools and data sources
• airoboros — Updated and improved implementation of the self-instruct system.
• aivoifu — Easy and fast AI Waifu voice generation
• algorin-cli — Acceso a GPT-3 y procesamiento de documentos desde la línea de comandos.
• anguilla-iml — a package for interactive machine learning
• anirudhp-audio-similarity — A package for audio similarity analysis
• annime — ANN-interface library
• antimatter — Library for interacting with capsules in various formats
• ApiRack — no summary
• apophenia — Extract and structure all the data from a Git repository to make them usable in RAG.
• ares-ai — ARES is an advanced evaluation framework for Retrieval-Augmented Generation (RAG) systems,
• argilla-v1 — Open-source tool for exploring, labeling, and monitoring data for NLP projects.
• arklex — The official Python library for the arklex API
• asterAI — no summary
• athenah-ai — no summary
• attackiq-sigmaiq — Wrapper and tools for pySigma and Sigma rules
• aurelis — AI-powered coding assistant with advanced reasoning capabilities
• auto-learn-gpt — autoML for training and inference Deep Learning model
• autofaiss — # AutoFaiss
• autofaiss-rom1504 — # AutoFaiss
• autointent — A tool for automatically configuring a text classification pipeline for intent prediction.
• azure-ai-generative — Microsoft Azure Machine Learning Client Library for Python
• azureml-rag — Contains Retrieval Augmented Generation related utilities for Azure Machine Learning and OSS interoperability.
• babyvec — Natural language embedding tools
• baguetter — Baguetter is a flexible and efficient search engine library implemented in Python. It supports sparse (traditional), dense (semantic), and hybrid retrieval methods.
• bcqa — A Benchmark for Complex Heterogeneous Question answering
• beegen — BeeGen is an intelligent command-line tool designed to assist developers with everyday tasks, leveraging the power of generative AI.
• beir — A Heterogeneous Benchmark for Information Retrieval
• benchllm — Tool for testing LLMs
• bflower — A Python package with a built-in web application
• bioencoder — A metric learning toolkit
• biomapper — A unified Python toolkit for biological data harmonization and ontology mapping
• blockingpy — Blocking records for record linkage and data deduplication based on ANN algorithms.
• blogoapp — A pipeline for question answering and retrieval-augmented generation (RAG)
• blue-assistant — 🧠 An AI Assistant.
• bolift — BayesOPT with LIFT
• bondai — An AI-powered console assistant with a versatile API for seamless integration into applications.
• bootleg — Bootleg NED System
• brdata-rag-tools — Improve development of retrieval augmented generation (RAG) applications at the BR AI + Automation Lab.
• bridgeai — no summary
• bytetrade-recommend-model-sdk — no summary
• cancer-researcher-ai — This is a chatbot created to answer all your resaerch questions related to cancer from various journal articles such as PubMed, Biorxiv.
• causallib — A Python package for flexible and modular causal inference modeling
• cell-decipher — Spatial-omics data embedding and analysis
• chainbase-hrr — A hybrid approach to semantic query retrieval using the Beir rerank methodology
• chat-cli-anything — Chat with anything on cli.
• ChatLLM — Create a Python package.
• chatlocal — chat with your local files
• chatterpyv1 — A Python library for FAISS indexing and OpenAI query processing.
• Chocolate-App — no summary
• ck-vanna — Generate SQL queries from natural language
• clddp — A package for training and doing inference with contrastive learning with multiple GPUs (Pytorch-DDP).
• clip-retrieval — Easily computing clip embeddings and building a clip retrieval system with them
• clip2classdist — A Python script that analyzes image classes using OpenAI CLIP model
• cLLM-python — cLLM is an Open-source library that use llama-cpp-python and llama.cpp and provide a Low and High level API and allow developer to be more pythonic.
• clonellm — Python package to create an AI clone of yourself using LLMs.
• coagent — A multi-agent framework that facilitates the rapid construction of collaborative teams of agents.
• cocoon-data — Cocoon is an open-source project that aims to free analysts from tedious data transformations with LLM.
• code-rl — Code RL
• codebase-intelligence — CLI tool for codebase indexing and natural language retrieval.
• codebased — AI-powered code search for the terminal and beyond.
• codefuse-muagent — An Innovative Agent Framework Driven by KG Engine
• cody-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• CogIE — CogIE: An Information Extraction Toolkit for Bridging Text and CogNet
• coir-eval — A package for COIR evaluations
• colbert-ai — Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
• community-profiler — Github community profiler
• confirms — Comprehension of trade term sheets and confirmations
• contextual-retrieval — An open-source Python RAG library for Contextual Retrieval
• convince — Better instruction following for large language models
• crllm — Provides AI-powered code reviews using local or cloud-based Large Language Models (LLMs) to help developers improve code quality and catch bugs efficiently.
• curious-me — Small project for aiding in research and development
• cvlab-gui — Object Detection annotation tool entirely written in Python. Automatically annotate entire images using a pretrained object detection model or pseudo-classify single bbounding boxes with Self-Supervised pretrained models.
• datadreamer.dev — Prompt. Generate Synthetic Data. Train & Align Models.
• datasets — HuggingFace community-driven open-source library of datasets
• datasets-fast — Optimisations for HuggingFace Datasets with array features
• datasette-faiss — Maintain a FAISS index for specified Datasette tables
• db-copilot-tool — nl2sql tool for prompt flow
• dbally — "Efficient, consistent and secure library for querying structured data with natural language"
• dbpa — Database Personal Assistant - An AI-powered database management system with advanced text-to-SQL capabilities
• dddex — The package 'data-driven density estimation x' (dddex) turns any standard point forecasting model into an estimator of the underlying conditional density
• deep-copilot — gyw toolkits
• DeepSearchLite — A package for similarity search for any type of data. Use your own feature extractor and data loader and use this package to perform similarity search.
• demeterchain — A set of data tools in Python
• DenSpa — DenSpa is an open-source package designed for hybrid search, enabling seamless integration into RAG frameworks.
• detectiq — A detection engineering workbench with LLM capabilities
• detectors — Detectors: a python package to benchmark generalized out-of-distribution detection methods.
• dexter-cqa — A Benchmark for Complex Heterogeneous Question answering
• dfapp — A Python package with a built-in web application
• dir-assistant — Chat with your current directory's files using a local or API LLM.
• dire-jax — A JAX-based Dimension Reducer
• distilabel — Distilabel is an AI Feedback (AIF) framework for building datasets with and for LLMs.