sentence-embeddings

Open-source projects categorized as sentence-embeddings
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Language: + Python + Jupyter Notebook + TypeScript + JavaScript
Topics: NLP Embeddings Transformers sentence-similarity Machine Learning
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Top 16 sentence-embedding Open-Source Projects

  • txtai

    💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

    • Project mention: Build knowledge graphs with LLM-driven entity extraction | dev.to | 2024-02-21

    txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.

  • BERTopic

    Leveraging BERT and c-TF-IDF to create easily interpretable topics.

    • Project mention: how can a top2vec output be improved | /r/learnmachinelearning | 2023-07-04

    Try experimenting with different hyperparameters, clustering algorithms and embedding representations. Try https://github.com/MaartenGr/BERTopic/tree/master/bertopic

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • SimCSE

    [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

  • inltk

    Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

  • nlu

    1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

  • Fast_Sentence_Embeddings

    Compute Sentence Embeddings Fast!

    • Project mention: The Illustrated Word2Vec | news.ycombinator.com | 2024-04-19

    This is a great guide.

    Also - despite the fact that language model embedding [1] are currently the hot rage, good old embedding models are more than good enough for most tasks.

    With just a bit of tuning, they're generally as good at many sentence embedding tasks [2], and with good libraries [3] you're getting something like 400k sentence/sec on laptop CPU versus ~4k-15k sentences/sec on a v100 for LM embeddings.

    When you should use language model embeddings:

    - Multilingual tasks. While some embedding models are multilingual aligned (eg. MUSE [4]), you still need to route the sentence to the correct embedding model file (you need something like langdetect). It's also cumbersome, with one 400mb file per language.

    For LM embedding models, many are multilingual aligned right away.

    - Tasks that are very context specific or require fine-tuning. For instance, if you're making a RAG system for medical documents, the embedding space is best when it creates larger deviations for the difference between seemingly-related medical words.

    This means models with more embedding dimensions, and heavily favors LM models over classic embedding models.

    1. sbert.net

    2. https://collaborate.princeton.edu/en/publications/a-simple-b...

    3. https://github.com/oborchers/Fast_Sentence_Embeddings

    4. https://github.com/facebookresearch/MUSE

  • vectordb

    A Python vector database you just need - no more, no less. (by jina-ai)

    • Project mention: A Python Vector Database | news.ycombinator.com | 2023-08-13

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • AnglE

    Angle-optimized Text Embeddings | 🔥 SOTA on STS and MTEB Leaderboard (by SeanLee97)

    • Project mention: FLaNK Stack Weekly 22 January 2024 | dev.to | 2024-01-22

  • awesome-semantic-search

    A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

  • DiffCSE

    Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

  • PromCSE

    Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"

  • simple-simcse

    A simple implementation of SimCSE

  • AnnA_Anki_neuronal_Appendix

    Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

  • energetic-ai

    EnergeticAI is TensorFlow.js, optimized for serverless environments, with fast cold-start, small module size, and pre-trained models.

    • Project mention: EnergeticAI - TensorFlow.js, optimized for serverless Node.js environments | /r/aipromptprogramming | 2023-06-14

  • smaller-labse

    Applying "Load What You Need: Smaller Versions of Multilingual BERT" to LaBSE

  • theGoodWord

    Find words based on their approximate definition. Wiktionary & Sentence embeddings

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

sentence-embeddings related posts

Index

What are some of the best open-source sentence-embedding projects? This list will help you:

Project Stars
1 txtai 6,953
2 BERTopic 5,543
3 SimCSE 3,242
4 inltk 811
5 nlu 805
6 Fast_Sentence_Embeddings 603
7 vectordb 462
8 AnglE 341
9 awesome-semantic-search 319
10 DiffCSE 286
11 PromCSE 131
12 simple-simcse 57
13 AnnA_Anki_neuronal_Appendix 55
14 energetic-ai 31
15 smaller-labse 17
16 theGoodWord 2

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