Embeddings
Showing 25 of 25 projects
An open-source Firebase alternative providing a full-featured backend with a hosted Postgres database, authentication, APIs, and realtime subscriptions.
A production-ready API for building private, context-aware AI applications that query documents using local LLMs with no data leaving your environment.
Open-source vector database and embedding store for building AI applications with semantic search.
An open-source, cloud-native vector database that combines semantic search with structured filtering for AI applications.
A single-file memory layer for AI agents, replacing complex RAG pipelines with serverless, instant retrieval and long-term memory.
Unofficial Go client library for the OpenAI API, supporting ChatGPT, GPT-4, DALL·E, Whisper, and more.
A semantic cache library for LLM queries that reduces API costs by 10x and boosts response speed by 100x.
Chat with your PDF files using GPT with a simple, accurate RAG architecture that avoids third-party dependencies.
An open-source graph-vector database built in Rust that unifies application data, vectors, and graphs for AI applications.
A Python library for self-supervised learning on images, providing a modular PyTorch-like framework with support for modern SSL models.
Give ChatGPT long-term memory by uploading custom knowledge base files (PDF, txt, epub) and asking questions via a React frontend.
A Ruby client library for the OpenAI API, supporting GPT-5, Realtime WebRTC, and all major endpoints.
A Rust library for interacting with OpenAI's APIs with full async/await support and type-safe request/response handling.
A comprehensive PHP generative AI framework for building applications with OpenAI, Anthropic, Mistral, and other LLMs.
An all-in-one framework for training state-of-the-art computer vision models, covering pretraining, fine-tuning, and distillation.
A curated collection of must-read academic papers on knowledge representation learning and knowledge embedding, with an associated open-source toolkit.
A PyTorch-based framework for training and validating models that produce high-quality embeddings for metric learning and retrieval tasks.
An embeddable vector database for Go with a Chroma-like interface, enabling RAG and semantic search without external dependencies.
A code repository indexing tool that enhances LLM coding assistance by providing project-specific context to reduce hallucinations.
Catalyst is a high-performance C# NLP library inspired by spaCy, offering pre-trained models, entity recognition, and embedding training.
A lightweight embedded relational database for Rust with a native Rust data API, supporting SQL execution and typed ORM.
Cleora is a fast, deterministic graph embedding engine that computes all random walks in a single matrix multiplication, requiring no GPUs or negative sampling.
A Model Context Protocol server for MariaDB that enables AI assistants to query databases and perform semantic search using vector embeddings.
A large transformer foundation model for single-cell RNA sequencing data analysis, including gene network inference, denoising, and cell annotation.
A complete Ruby client for the Pinecone vector database, supporting all API operations with local development and performance optimizations.
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