State-of-the-Art Embeddings, Retrieval, and Reranking
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RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model
Retrieval and Retrieval-augmented LLMs
- embeddings
- information-retrieval
- llm
- sentence-embeddings
Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Translatedtext2vec, text to vector. A text vector representation tool that converts text into vector matrices. It implements text representation and text similarity calculation models such as Word2Vec, RankBM25, Sentence-BERT, and CoSENT, and works out of the box.
- similarity
- nlp
- text-similarity
- text2vec
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
- nlp
- sentence-embeddings
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
- benchmark
- clustering
- information-retrieval
- sentence-transformers
Efficient few-shot learning with Sentence Transformers
- few-shot-learning
- nlp
- sentence-transformers
A Toolkit for Industrial Topic Modeling
- topic-modeling
- topic-models
- lda
- sentence-lda
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Fast State-of-the-Art Static Embeddings
- embeddings
- machine-learning
- model2vec
- nlp
Data augmentation for NLP, presented at EMNLP 2019
- nlp
- data-augmentation
- text-classification
- synonyms
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.