qdrant / fastembedLinks
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
☆2,335Updated this week
Alternatives and similar repositories for fastembed
Users that are interested in fastembed are comparing it to the libraries listed below
Sorting:
- Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali☆2,398Updated this week
- Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cro…☆851Updated 2 months ago
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.☆1,523Updated 3 months ago
- Python client for Qdrant vector search engine☆1,080Updated 2 weeks ago
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,656Updated 3 months ago
- Superfast AI decision making and intelligent processing of multi-modal data.☆2,743Updated 3 weeks ago
- Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024☆2,287Updated last week
- A blazing fast inference solution for text embeddings models☆3,942Updated last week
- Fast State-of-the-Art Static Embeddings☆1,819Updated this week
- Developer APIs to Accelerate LLM Projects☆1,712Updated 10 months ago
- 🦙 Integrating LLMs into structured NLP pipelines☆1,301Updated 7 months ago
- Efficient Retrieval Augmentation and Generation Framework☆1,650Updated 7 months ago
- Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy☆1,291Updated 2 months ago
- Enforce the output format (JSON Schema, Regex etc) of a language model☆1,883Updated last week
- ☆802Updated this week
- The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.☆2,164Updated last week
- High-performance retrieval engine for unstructured data☆1,486Updated last month
- The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval☆1,373Updated last year
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆3,397Updated 3 months ago
- Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastr…☆1,778Updated this week
- RAG that intelligently adapts to your use case, data, and queries☆3,468Updated 2 months ago
- pgvector support for Python☆1,306Updated 2 months ago
- The easiest way to deploy agents, MCP servers, models, RAG, pipelines and more. No MLOps. No YAML.☆3,524Updated last week
- Use late-interaction multi-modal models such as ColPali in just a few lines of code.☆819Updated 7 months ago
- LOTUS: fast, easy, and robust LLM-powered data processing☆1,264Updated this week
- Fast Semantic Text Deduplication & Filtering☆799Updated 2 weeks ago
- Knowledge Agents and Management in the Cloud☆4,121Updated last week
- Harness LLMs with Multi-Agent Programming☆3,668Updated this week
- Improved file parsing for LLM’s☆3,048Updated 9 months ago
- MTEB: Massive Text Embedding Benchmark☆2,800Updated this week