embeddings

An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!

This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

Open Source Semantic Search for your AI Agent

A deep dive into embeddings starting from fundamentals

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

Rust library for generating vector embeddings and reranking locally!

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

A tool for learning vector representations of words and entities from Wikipedia

A repository of code samples for Vector search capabilities in Azure AI Search.

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

PostgreSQL vector database extension for building AI applications

Epsilla is a high performance Vector Database Management System

A code repository indexing tool to supercharge your LLM experience.

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!

🪿 LinGoose is a Go framework for building awesome AI/LLM applications.

Train Models Contrastively in Pytorch

Fuzzy string matching, grouping, and evaluation.

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

Microsoft Foundry (demos, documentation, accelerators).

Embedded relational database and native Rust data API.

VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.

Generative Representational Instruction Tuning

Vestige enhances agents by deterministic root-cause retrieval that reaches backward through time to find the quiet change, decision, or service that caused today’s failure, not the lookalike.

The Clay Foundation Model - An open source AI model and interface for Earth

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

A NodeJS RAG framework to easily work with LLMs and embeddings

Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.