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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/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/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/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/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