marqo
haystack
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marqo | haystack | |
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1 | 54 | |
424 | 13,633 | |
- | 5.8% | |
10.0 | 9.9 | |
over 1 year ago | 3 days ago | |
Python | Python | |
Apache License 2.0 | 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.
marqo
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[D] NLP for long document understanding ?
We recently released Marqo which is our approach to tensor search! Feel free to reach out if you'd like to chat about it https://github.com/S2Search/marqo
haystack
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Release Radar โข March 2024 Edition
View on GitHub
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First 15 Open Source Advent projects
4. Haystack by Deepset | Github | tutorial
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Generative AI Frameworks and Toolsย Every Developer Should Know!
Haystack can be classified as an end-to-end framework for building applications powered by various NLP technologies, including but not limited to generative AI. While it doesn't directly focus on building generative models from scratch, it provides a robust platform for:
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Best way to programmatically extract data from a set of .pdf files?
But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look.
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Which LLM framework(s) do you use in production and why?
Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!??
- Overview: AI Assembly Architectures
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Llama2 and Haystack on Colab
I recently conducted some experiments with Llama2 and Haystack (https://github.com/deepset-ai/haystack), the NLP/LLM framework.
The notebook can be helpful for those trying to load Llama2 on Colab.
1) Installed Transformers from the main branch (and other libraries)
- Build with LLMs for production with Haystack โ has 10k stars on GitHub
- Show HN: Haystack โ Production-Ready LLM Framework
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Langchain Is Pointless
there is an alternative that is production-grade - deepset haystack https://haystack.deepset.ai/
p.s. i am contributor so there could be bias
What are some alternatives?
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
langchain - ๐ฆ๐ Build context-aware reasoning applications
jina - โ๏ธ Build multimodal AI applications with cloud-native stack
langchain - โก Building applications with LLMs through composability โก [Moved to: https://github.com/langchain-ai/langchain]
jina-financial-qa-search
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
ByteDetective - The easiest way to search for images on your desktop ๐
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
sycamore - ๐ Sycamore is an LLM-powered search and analytics platform for unstructured data.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
mindflow - ๐ง AI-powered CLI git wrapper, boilerplate code generator, chat history manager, and code search engine to streamline your dev workflow ๐