AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
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A project to make it easier to use large external knowledge bases with LLMs.
PyTorch Meta-learning Framework for Researchers.
Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.
Open Source Hybrid AI Search Engine, Instantly Get Accurate Answers from the Internet, Bookmarks, Notes, and Docs.
Framework that implements AutoML algorithms for model architecture search at scale.
Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.
Semantic search and workflows powered by language models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Transactional alternative to Elasticsearch, built on Postgres.
Ask questions to your documents without an internet connection, using the power of LLMs.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
A github util where AI will do the paper reading for you instead.
Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.
Distributed system for embedding-based vector retrieval.
Open source web client for ChatGPT-style assistants, API keys, prompts, and self-hosted AI chat.
Open Code LLMs for Code Understanding and Generation.
AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
🔍 Chrome扩展,为安全研究和渗透测试提供Google/百度/Bing高级搜索语法快捷执行。一键Dorking、批量提取URL、智能过滤黑名单,大幅提升信息收集效率。 🔍 Chrome extension for security research and penetration testing. One-click advanced search (Dorking) on Google/Baidu/Bing, bulk URL extraction, smart blacklist filtering. Boost OSINT efficiency.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
An open-source visual programming environment for battle-testing prompts to LLMs.
A model-agnostic visual debugging tool for machine learning.