The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
-
Updated
Feb 21, 2025 - C++
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
A @ClickHouse fork that supports high-performance vector search and full-text search.
Embedder is a collection of sources in different languages to embed Python interpreter with minimal dependencies
MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.
C++ inference wrappers for running blazing fast embedding services on your favourite serverless like AWS Lambda. By Prithivi Da, PRs welcome.
Movie recommendation system implemented in C++ and trained/evaluated on Netflix Prize dataset.
Testing a bunch of graph minor embedding heuristics.
Library for the analysis of time-evolving graphs
A CLI tool to be used as part of a build toolchain which generates linker input object files containing arbitrary files as binary objects (blobs) with accompanying C/C++ header files providing the necessary code to access the blob's data at runtime.
A file embedding/decoding utility for c++20
bazel build example with pybind11 embedding python interpreter
Add a description, image, and links to the embedding topic page so that developers can more easily learn about it.
To associate your repository with the embedding topic, visit your repo's landing page and select "manage topics."