llmsherpa
llama-hub
| llmsherpa | llama-hub | |
|---|---|---|
| 6 | 5 | |
| 970 | 3,359 | |
| 16.2% | - | |
| 6.6 | 9.6 | |
| 7 days ago | 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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llmsherpa
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LlamaCloud and LlamaParse
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.
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Show HN: Open-source Rule-based PDF parser for RAG
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.
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
What are some alternatives?
unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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]
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
LLMStack - No-code platform to build LLM Agents, workflows and applications with your data
llama_parse - Parse files for optimal RAG
model.nvim - Neovim plugin for interacting with LLM's and building editor integrated prompts.
Parsr - Transforms PDF, Documents and Images into Enriched Structured Data
vectara-answer - LLM-powered Conversational AI experience using Vectara
marker - Convert PDF to markdown quickly with high accuracy
llm-applications - A comprehensive guide to building RAG-based LLM applications for production.
paperetl - 📄 ⚙️ ETL processes for medical and scientific papers
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]