llama-hub
llama_parse
| llama-hub | llama_parse | |
|---|---|---|
| 5 | 4 | |
| 3,359 | 1,108 | |
| - | 45.0% | |
| 9.6 | 9.1 | |
| 3 months ago | 7 days ago | |
| Jupyter Notebook | Python | |
| MIT License | MIT License |
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
-
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
-
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/...
-
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.
-
Hello, is there a "BEST OF" prompts list here somewhere?
LLAMA GitHub repository
llama_parse
- FLaNK AI for 11 March 2024
-
LlamaCloud and LlamaParse
I'm part of the team that build LlamaParse. It's net improvement compare to other PDF->Structured Text extractors (I build several in the past, includig https://github.com/axa-group/Parsr).
For character extraction, LlamaParse use a mixture of OCR / character extraction from the PDF (it's the only parser I'm aware of that address some of the buggy PDF font issues, check the 'text' mode to see raw document before reconstruction), use a mixture of heuristic and Machine learning models to reconstruct the document.
Once plug with a Recursive retrieval strategy, allow you to get Sota result on question answering over complexe text (see notebook: https://github.com/run-llama/llama_parse/blob/main/examples/...).
AMA
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]
llmsherpa - Developer APIs to Accelerate LLM Projects
LLMStack - No-code platform to build LLM Agents, workflows and applications with your data
unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
model.nvim - Neovim plugin for interacting with LLM's and building editor integrated prompts.
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.
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
langchain - 🦜🔗 Build context-aware reasoning applications