Colbert Python Packages

fast-plaid

High-Performance Engine for Multi-Vector Search

pylate

Late Interaction Models Training & Retrieval

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

late-interaction-kernels

Fused Triton kernels for late-interaction (MaxSim) scoring

byaldi

Use late-interaction multi-modal models such as ColPali in just a few lines of code.

rankops

Python bindings for rankops (Rust) — fusion and reranking for hybrid search.

pylate-rs

PyLate efficient inference engine

raglite

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

m3serve

Optimised BAAI/bge-m3 serving with dense + sparse + ColBERT embeddings, async dynamic batching and pipeline GPU inference

vllm-factory

Production inference for encoder models - ColBERT, GLiNER, ColPali, embeddings etc. - as vLLM plugins for online and in-process deployment

pymuvera

Python library for MUVERA multi-vector retrieval via Fixed Dimensional Encodings. ColBERT / ColQwen2 / ColQwen3.5 compatible.

pylate-rs-mkl

PyLate efficient inference engine

neural-cherche

Sparse Embeddings for Neural Search.

jina-v4-vllm-plugin

vLLM out-of-tree model: Jina Embeddings v4 multi-vector (token_embed) on Qwen2.5-VL

freshstack

A framework to generate realistic IR & RAG Benchmarks.

carag

An efficient python library for building AI applications using the Retrieval-Augmented Generation (RAG) pipeline.

fastrag

Efficient Retrieval Augmentation and Generation Framework

pylate-rs-metal

PyLate efficient inference engine

pylate-rs-accelerate

PyLate efficient inference engine

neural-tree

Tree-based indexes for neural-search

pylate-rs-cuda

Rust and WebAssembly library for late interaction models.