mixedbread-ai / batchedLinks
The Batched API provides a flexible and efficient way to process multiple requests in a batch, with a primary focus on dynamic batching of inference workloads.
☆142Updated 2 weeks ago
Alternatives and similar repositories for batched
Users that are interested in batched are comparing it to the libraries listed below
Sorting:
- Baguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, imp…☆186Updated 11 months ago
- High-Performance Engine for Multi-Vector Search☆130Updated last month
- minimal pytorch implementation of bm25 (with sparse tensors)☆104Updated last year
- Late Interaction Models Training & Retrieval☆511Updated 2 weeks ago
- Generalist and Lightweight Model for Text Classification☆148Updated last month
- ☆154Updated 8 months ago
- ☆63Updated 3 weeks ago
- Crispy reranking models by Mixedbread☆33Updated 2 weeks ago
- FastFit ⚡ When LLMs are Unfit Use FastFit ⚡ Fast and Effective Text Classification with Many Classes☆210Updated 2 months ago
- ☆210Updated last month
- ☆35Updated 3 weeks ago
- Simple UI for debugging correlations of text embeddings☆288Updated 2 months ago
- Pre-train Static Word Embeddings☆85Updated 2 months ago
- experiments with inference on llama☆104Updated last year
- NLP with Rust for Python 🦀🐍☆64Updated 2 months ago
- Notebooks for training universal 0-shot classifiers on many different tasks☆133Updated 7 months ago
- ☆199Updated last year
- ☆128Updated 3 months ago
- Trully flash implementation of DeBERTa disentangled attention mechanism.☆62Updated 2 months ago
- code for training & evaluating Contextual Document Embedding models☆195Updated 2 months ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆268Updated last year
- Python API for https://vespa.ai, the open big data serving engine☆133Updated this week
- 🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.☆137Updated last year
- Efficient vector database for hundred millions of embeddings.☆207Updated last year
- ☆29Updated last year
- Check for data drift between two OpenAI multi-turn chat jsonl files.☆37Updated last year
- XTR/WARP (SIGIR'25) is an extremely fast and accurate retrieval engine based on Stanford's ColBERTv2/PLAID and Google DeepMind's XTR.☆150Updated 3 months ago
- Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by…☆32Updated 11 months ago
- Optimus is a flexible and scalable framework built to train language models efficiently across diverse hardware configurations, including…☆66Updated last month
- Let's build better datasets, together!☆260Updated 7 months ago