Chroma vs Haystack NLP Framework
Overview
🔥 Trending in Text & Language Models on StackShare
The weights and architecture of Mixture-of-Experts model, Grok-1 (By xAI)
Detailed Comparison
Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT, etc.). It offers production-ready tools to build NLP backend services, e.g., question answering or semantic search. | It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. |
Question answering;
Semantic document search;
Latest models;
Vector databases;
Scalable pipelines; | Fully-typed, fully-tested, fully-documented;
Dev, Test, Prod: the same API that runs in your Python notebook, scales to your cluster;
Feature-rich;
Free & open source |
Statistics | |
GitHub Stars 23.2K | GitHub Stars 24.2K |
GitHub Forks 2.5K | GitHub Forks 1.9K |
Stacks 6 | Stacks 41 |
Followers 12 | Followers 15 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Haystack NLP Framework, Chroma?
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
Speechly
It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.
Milvus
Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.
MonkeyLearn
Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.
Jina
It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.
Ollama
It allows you to run open-source large language models, such as Llama 2, locally.
FastText
It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
Flair
Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
LangSmith
It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
