pipeline-docs-data-extractor
relevanceai
pipeline-docs-data-extractor | relevanceai | |
---|---|---|
1 | 1 | |
5 | 105 | |
- | 7.6% | |
7.8 | 6.4 | |
about 1 month ago | 4 months ago | |
Python | Python | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pipeline-docs-data-extractor
relevanceai
-
Launch a beautiful projector in under 10 lines of code!
π You can view our github repository here!
What are some alternatives?
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spacy-llm - π¦ Integrating LLMs into structured NLP pipelines
vector-search - The definitive guide to using Vector Search to solve your semantic search production workload needs.
autolabel - Label, clean and enrich text datasets with LLMs.
umap-sharp - C# library for fast embeddings projection using Uniform Manifold Approximation and Projection
llm-client-sdk - SDK for using LLM
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
embedditor - β‘ 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.
Resume-Matcher - Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
ChatData - ChatData π π brings RAG to real applications with FREEβ¨ knowledge bases. Now enjoy your chat with 6 million wikipedia pages and 2 million arxiv papers.