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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 AI tool to help developers quickly search and understand large codebases. Engineers at companies like Stripe and Airbnb have to work with million-line codebases; our LLM-powered tool makes this simple. |
Question answering;
Semantic document search;
Latest models;
Vector databases;
Scalable pipelines; | Contextual search;
Javascript & Typescript are currently supported |
Statistics | |
GitHub Stars 23.2K | GitHub Stars - |
GitHub Forks 2.5K | GitHub Forks - |
Stacks 6 | Stacks 1 |
Followers 12 | Followers 5 |
Votes 0 | Votes 0 |
Integrations | |

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.

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.

Sourcegraph is a universal code search tool that lets you find and fix things across ALL your code -- any code host, any repo, any language. Stay in flow and find your answers quickly with smart filters, and more.

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.

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.

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.

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It allows you to run open-source large language models, such as Llama 2, locally.

It provides an easy method to compute dense vector representations for sentences, paragraphs, and images. The models are based on transformer networks like BERT / RoBERTa / XLM-RoBERTa etc. and achieve state-of-the-art performance in various tasks.