Embeddings
Showing 14 of 14 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 curated collection of must-read academic papers on knowledge representation learning and knowledge embedding, with an associated open-source toolkit.
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