llama-hub
surya
llama-hub | surya | |
---|---|---|
5 | 6 | |
3,359 | 6,743 | |
- | - | |
9.6 | 8.4 | |
3 months ago | 7 days ago | |
Jupyter Notebook | Python | |
MIT License | GNU General Public License v3.0 only |
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.
llama-hub
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LlamaCloud and LlamaParse
mean_faithfulness_score 0.667
Notably, the faithfulness score I measured for the baseline solution was actually higher than that reported for your proprietary LlamaParse based solution.
[1] https://github.com/run-llama/llama-hub/tree/main/llama_hub/l...
- Llama Hub
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A Comprehensive Guide for Building Rag-Based LLM Applications
My favorite example is the asana loader[0] for llama-index. It's literally just the most basic wrapper around the Asana SDK to concatenate some strings.
[0] - https://github.com/emptycrown/llama-hub/blob/main/llama_hub/...
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Outlook local calendar loader for LlamaIndex now in LLamaHub
My loader to get events from the local version of an Outlook calendar into documents suitable for LLamaIndex indexing is now available on github.. Like other loaders (there are a lot of them), it's available at https://github.com/emptycrown/llama-hub To make it easy for developers, this loader has a superset of the functions the Google calandar loader has and the same defaults. Since it works off the local calendar, however, no apikeys are needed. This is Windows only.
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Hello, is there a "BEST OF" prompts list here somewhere?
LLAMA GitHub repository
surya
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New open source AI model for document segmentation and unstructured ETL
Would this be able to incorporate the models from Surya —
https://github.com/VikParuchuri/surya
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Show HN: Beyond text splitting – improved file parsing for LLM's
This looks great! You might be interested in surya - https://github.com/VikParuchuri/surya (I'm the author). It does OCR (much more accurate than tesseract), layout analysis, and text detection.
The OCR is slow on CPU (working on it), but faster than tesseract (CPU-only) on GPU.
Happy to discuss more, feel free to email me (in profile).
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LlamaCloud and LlamaParse
You may want to try https://github.com/VikParuchuri/surya (I'm the author). I've only benchmarked against tesseract, but it outperforms it by a lot (benchmarks in repo). Happy to discuss.
You could also try https://github.com/VikParuchuri/marker for general PDF parsing (I'm also the author) - it seems like you're more focused on tables.
- Show HN: Surya – OCR and line detection in 93 languages
- Surya: Multilingual Document OCR Toolkit
What are some alternatives?
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
cmdf - this thing will fix misspelled commands by learning from your history.
LLMStack - No-code platform to build LLM Agents, workflows and applications with your data
stable-diffusion-webui - Stable Diffusion web UI
model.nvim - Neovim plugin for interacting with LLM's and building editor integrated prompts.
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
vectara-answer - LLM-powered Conversational AI experience using Vectara
llm-applications - A comprehensive guide to building RAG-based LLM applications for production.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.
llama_parse - Parse files for optimal RAG
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)