Haystack NLP Framework
Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Some of the top features or benefits of Haystack NLP Framework are: Open Source, Modular Design, Extensive Documentation, Performance, Integrations, and Community Support. You can visit the info page to learn more.
- Open Source
Best Haystack NLP Framework Alternatives & Competitors in 2025
The best Haystack NLP Framework alternatives based on verified products, community votes, reviews and other factors.
Filter:
12
Open-Source Alternatives.
Latest update:
-
Framework for building applications with LLMs through composability
-
Open-source platform for LLMOps,Define your AI-native Apps
-
Create ai humanized SEO content tailored for ecommerce and small businesses with HappySEO tools. From ai writer to keyword research and analyze tools.
-
Teammately is The AI AI-Engineer - the AI Agent for AI Engineers that autonomously builds AI Products, Models and Agents based on LLM, prompt, RAG and ML.
-
The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
-
Minigpt-4
-
Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
-
An open source library for building AI-powered user interfaces.
-
Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
-
An LLM playground you can run on your laptop. Contribute to nat/openplayground development by creating an account on GitHub.
-
An open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease. - GitHub - bentoml/OpenLLM: An open platform for operating large...
-
StableLM: Stability AI Language Models. Contribute to Stability-AI/StableLM development by creating an account on GitHub.
-
Your Ai friend
-
Free Jupyter notebook environment in the cloud.
Haystack NLP Framework discussion
