embedding-vectors 开源项目推荐（244 个）

towhee-io /towhee

Towhee 是一个致力于让神经数据处理流水线变得简单且快速的框架。

Dicklesworthstone /swiss_army_llama

一种FastAPI服务，用于使用预先计算的嵌入和高级相似性测量来进行语义文本搜索，内置支持通过文本集的各种文件类型。

Dicklesworthstone /fast_vector_similarity

Rust 中高性能向量相似度库，带有 Python 绑定：Spearman、Kendall、距离相关、Jensen-Shannon、Hoeffding D 和自助置信区间

lior-k /fast-elasticsearch-vector-scoring

Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine

BBC-Esq /VectorDB-Plugin

允许您就文档、音频和视频文件提问的程序。

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.

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.

aws-samples /rag-using-langchain-amazon-bedrock-and-opensearch

RAG with langchain using Amazon Bedrock and Amazon OpenSearch

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.

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.

Dadmatech /DadmaTools

DadmaTools is a Persian NLP tools developed by Dadmatech Co.

Shannon-Data /ShannonBase

The Next-Gen Database for AI—an infrastructure designed for data and AI. As the MySQL of the AI era.

awa-ai /awadb

AI Native database for embedding vectors

ChenLiu-1996 /LM-Dispersion

[𝗜𝗖𝗠𝗟 𝟮𝟬𝟮𝟲] Dispersion loss counteracts embedding condensation and improves generalization in small language models

messkan /rag-chunk

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

vector-index-bench /vibe

Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.

ikergarcia1996 /MetaVec

A monolingual and cross-lingual meta-embedding generation and evaluation framework

pentoai /vectory

Vectory provides a collection of tools to track and compare embedding versions.

shahules786 /Twitter-Sentiment

Sentiment analyzer for your tweets.

patterns-ai-core /qdrant-ruby

Ruby wrapper for the Qdrant vector search database API