mixedbread-ai / baguetterLinks
Baguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, implementing, and testing new search methods. Baguetter supports sparse (traditional), dense (semantic), and hybrid retrieval methods.
☆179Updated 9 months ago
Alternatives and similar repositories for baguetter
Users that are interested in baguetter are comparing it to the libraries listed below
Sorting:
- The Batched API provides a flexible and efficient way to process multiple requests in a batch, with a primary focus on dynamic batching o…☆134Updated last week
- Late Interaction Models Training & Retrieval☆385Updated this week
- XTR/WARP (SIGIR'25) is an extremely fast and accurate retrieval engine based on Stanford's ColBERTv2/PLAID and Google DeepMind's XTR.☆130Updated 3 weeks ago
- Python API for https://vespa.ai, the open big data serving engine☆125Updated 2 weeks ago
- Generalist and Lightweight Model for Text Classification☆128Updated last week
- FastFit ⚡ When LLMs are Unfit Use FastFit ⚡ Fast and Effective Text Classification with Many Classes☆206Updated 3 weeks ago
- Efficient vector database for hundred millions of embeddings.☆205Updated last year
- Simple replication of [ColBERT-v1](https://arxiv.org/abs/2004.12832).☆80Updated last year
- 📝 Reference-Free automatic summarization evaluation with potential hallucination detection☆99Updated last year
- Crispy reranking models by Mixedbread☆31Updated 3 weeks ago
- ☆152Updated 6 months ago
- minimal pytorch implementation of bm25 (with sparse tensors)☆101Updated last year
- code for training & evaluating Contextual Document Embedding models☆191Updated 2 weeks ago
- Simple UI for debugging correlations of text embeddings☆180Updated this week
- ☆210Updated 10 months ago
- Vector Database with support for late interaction and token level embeddings.☆53Updated 8 months ago
- Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.☆208Updated this week
- Neural Search☆356Updated 2 months ago
- Notebooks for training universal 0-shot classifiers on many different tasks☆126Updated 5 months ago
- Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻🍳☆289Updated 2 weeks ago
- Pre-train Static Word Embeddings☆70Updated this week
- ☆55Updated 2 weeks ago
- [EMNLP 2023 Demo] fabricator - annotating and generating datasets with large language models.☆108Updated last year
- awesome synthetic (text) datasets☆281Updated 7 months ago
- NLP with Rust for Python 🦀🐍☆62Updated 2 weeks ago
- Synthetic Data for LLM Fine-Tuning☆116Updated last year
- ☆70Updated 5 months ago
- ☆29Updated 11 months ago
- Benchmark various LLM Structured Output frameworks: Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, etc on task…☆169Updated 8 months ago
- experiments with inference on llama☆104Updated 11 months ago