llmsherpa VS open-webui

Compare llmsherpa vs open-webui and see what are their differences.

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llmsherpa open-webui
6 9
970 20,138
16.2% 44.1%
6.6 10.0
8 days ago 2 days ago
Jupyter Notebook Svelte
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

llmsherpa

Posts with mentions or reviews of llmsherpa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-20.
  • LlamaCloud and LlamaParse
    9 projects | news.ycombinator.com | 20 Feb 2024
    To get good RAG performance you will need a good chunking strategy. Simply getting all the text is not good enough and knowing the boundaries of table, list, paragraph, section etc. is helpful.

    Great work by llamaindex team. Also feel free to try https://github.com/nlmatics/llmsherpa which takes into account some of the things I mentioned.

  • Show HN: Open-source Rule-based PDF parser for RAG
    9 projects | news.ycombinator.com | 23 Jan 2024
    I wrote about split points and the need for including section hierarchy in this post: https://ambikasukla.substack.com/p/efficient-rag-with-docume...

    All this is automated in the llmsherpa parser https://github.com/nlmatics/llmsherpa which you can use as an API over this library.

open-webui

Posts with mentions or reviews of open-webui. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-07.

What are some alternatives?

When comparing llmsherpa and open-webui you can also consider the following projects:

unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

ollama-webui - ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) [Moved to: https://github.com/open-webui/open-webui]

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.

llama_parse - Parse files for optimal RAG

Awesome-RAG

Parsr - Transforms PDF, Documents and Images into Enriched Structured Data

chainlit - Build Conversational AI in minutes ⚡️

marker - Convert PDF to markdown quickly with high accuracy

Ollamac - A macOS app for interacting with the Ollama models

paperetl - 📄 ⚙️ ETL processes for medical and scientific papers

NeoGPT - Chat effortlessly, execute commands, and interpret code with Llama3, Phi3, and more - your local AI assistant. Enjoy seamless interaction while ensuring ultimate privacy