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Decision brief
text2vec is a Python-based tool designed for converting textual data into vector matrices using various models such as Word2Vec, RankBM25, Sentence-BERT, and CoSENT.
Good fit when
- - When you need to leverage multiple text representation techniques in one library to find the best fit for your specific use case.
- - For tasks requiring high-precision semantic similarity calculations, specifically ifSentence-BERT or CoSENT's methodologies are optimal for your dataset.
Avoid when
- - When specific optimizations required by an application would be better served by direct implementation of Word2Vec instead of relying on text2vec’s integrated version.
- - For applications that require real-time performance with minimal latency, as text2vec's comprehensive approach might introduce overheads compared to more lightweight alternatives.
- Pricing:
- freemium - Free under Apache-2.0 license for open-source use; potential premium support available.
- Requirements:
- Min 4 GB RAM
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (158d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install text2vecSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
text2vec 是一个用于将文本转化为向量矩阵的工具，它实现了包括 Word2Vec、RankBM25、Sentence-BERT 和 CoSENT 在内的多种文本表示和相似度计算模型。
Capability facts
- Languages
- python
Source: github.language · Jul 22, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 22, 2026)
pip install torch # conda install pytorchSource link
Tags
README
Install
pip install torch # conda install pytorch
pip install -U text2vec
or
pip install torch # conda install pytorch
pip install -r requirements.txt
git clone https://github.com/shibing624/text2vec.git
cd text2vec
pip install --no-deps .
License
授权协议为 The Apache License 2.0，可免费用做商业用途。请在产品说明中附加text2vec的链接和授权协议。
For agents
This page has a .md twin and JSON over the API.