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Projects in Awesome Lists tagged with embedding-vectors
A curated list of projects in awesome lists tagged with embedding-vectors .
https://github.com/towhee-io/towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
computer-vision convolutional-networks embedding-vectors embeddings feature-extraction feature-vector image-processing image-retrieval llm machine-learning milvus pipeline towhee transformer unstructured-data video-processing vision-transformer vit
Last synced: 01 Oct 2024
https://github.com/llmware-ai/llmware
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
ai bert embedding-vectors embeddings faiss generative-ai information-retrieval large-language-models machine-learning milvus nlp parsing python pytorch question-answering rag retrieval-augmented-generation semantic-search transformers
Last synced: 30 Sep 2024
https://llmware-ai.github.io/llmware/
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
ai bert embedding-vectors embeddings faiss generative-ai information-retrieval large-language-models machine-learning milvus nlp parsing python pytorch question-answering rag retrieval-augmented-generation semantic-search transformers
Last synced: 24 Sep 2024
https://github.com/dicklesworthstone/swiss_army_llama
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
embedding-similarity embedding-vectors embeddings llama2 llamacpp semantic-search
Last synced: 27 Sep 2024
https://github.com/Dicklesworthstone/swiss_army_llama
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
embedding-similarity embedding-vectors embeddings llama2 llamacpp semantic-search
Last synced: 01 Aug 2024
https://github.com/Dicklesworthstone/llama_embeddings_fastapi_service
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
embedding-similarity embedding-vectors embeddings llama2 llamacpp semantic-search
Last synced: 06 Aug 2024
https://github.com/Dicklesworthstone/fast_vector_similarity
The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.
embedding-vectors llm similarity vector vectorsearch
Last synced: 01 Aug 2024
https://github.com/geeks-of-data/knowledge-gpt
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
context embedding embedding-vectors gpt gpt3-turbo gpt4 huggingface huggingface-transformers information-extraction language-model llama llm natural-language-processing openai python question-answering scraper sentence-embeddings sentence-similarity vector-search
Last synced: 01 Aug 2024
https://github.com/IngestAI/embedditor
⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.
datapreprocessing datascience embedding-vectors embeddings genai laravel llm markup-language ml nlp nltk php vector-database vector-search vectorization veml
Last synced: 31 Jul 2024
https://github.com/nitaiaharoni1/vector-storage
Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
cosine-similarity embedding-vectors javascript local-storage localstorage lru-cache npm open-source openai semantic-search semantic-similarity typescript vector-database vector-db vector-search vector-similarity vector-similarity-database vector-similarity-search
Last synced: 03 Sep 2024
https://github.com/Dadmatech/DadmaTools
DadmaTools is a Persian NLP tools developed by Dadmatech Co.
chunker constituency-parser dataset-loader dependency-parser embedding-vectors embeddings lemmatizer natural-language-processing ner nlptoolkit persian persian-nlp postagger spacy tokenizer
Last synced: 04 Aug 2024
https://github.com/dadmatech/dadmatools
DadmaTools is a Persian NLP tools developed by Dadmatech Co.
chunker constituency-parser dataset-loader dependency-parser embedding-vectors embeddings lemmatizer natural-language-processing ner nlptoolkit persian persian-nlp postagger spacy tokenizer
Last synced: 30 Sep 2024
https://github.com/awa-ai/awadb
AI Native database for embedding vectors
ai-native aigc chatgpt embedding-vectors llm vectordb
Last synced: 01 Aug 2024
https://github.com/yusufhilmi/client-vector-search
A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.
embedding-models embedding-vectors embeddings openai search text-embeddings transformers vector vector-search
Last synced: 01 Aug 2024
https://github.com/patterns-ai-core/weaviate-ruby
Ruby wrapper for the Weaviate vector search database API
api-client embedding-vectors machine-learning ml ruby rubyml vector-search vector-search-engine weaviate
Last synced: 01 Aug 2024
https://github.com/patterns-ai-core/qdrant-ruby
Ruby wrapper for the Qdrant vector search database API
api-client embedding-vectors machine-learning ml qdrant ruby rubyml vector-search vector-search-engine
Last synced: 01 Aug 2024
https://github.com/patterns-ai-core/milvus
Ruby wrapper for the Milvus vector search database API
api-client embedding-vectors machine-learning milvus ml ruby rubyml search-engine vector-search
Last synced: 01 Aug 2024
https://github.com/dcarpintero/wikisearch
Multilingual Semantic Search with Reranking on a prepared large vectorized dataset comprising 10 million Wikipedia documents. It supports dense retrieval, keyword search, and hybrid search.
cohere cohere-rerank dense-retrieval embedding-vectors generative-ai large-language-models python reranking semantic-search streamlit weaviate wikipedia
Last synced: 01 Oct 2024