8 best open source semantic search projects.

We have collection of more than 1 Million open source products ranging from Enterprise product to small libraries in all platforms. We aggregate information from all open source repositories. Search and find the best for your needs. Check out projects section.

Displaying 1 to 8 from 8 results

jina - Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

Python

Jina🔊 is a neural search framework that empowers anyone to build SOTA & scalable deep learning search applications in minutes. 🌌 All data types - Large-scale indexing and querying of any kind of unstructured data: video, image, long/short text, music, source code, PDF, etc.

search nlp machine-learning framework computer-vision deep-learning microservice cloud-native image-search zmq semantic-search video-search multimodal-search neural-search jina search-as-a-service

Haystack - Build a natural language interface for your data

Python

Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want to perform Question Answering or semantic document search, you can use the State-of-the-Art NLP models in Haystack to provide unique search experiences and allow your users to query in natural language. Haystack is built in a modular fashion so that you can combine the best technology from other open-source projects like Huggingface's Transformers, Elasticsearch, or Milvus.

search nlp search-engine elasticsearch information-retrieval pytorch question-answering summarization transfer-learning ann language-model semantic-search squad bert dpr retriever neural-search natural-language

Ephyra - Question Answering System

Java

Ephyra is a modular and extensible framework for open domain question answering (QA). The system retrieves accurate answers to natural language questions from the Web and other sources. The goal is to give researchers the opportunity to develop new QA techniques without worrying about the end-to-end system.

question answer information-analysis data-analysis analysis knowledge semantic-search

examples - Jina examples and demos to help you get started

Python

nlp deep-learning examples tutorials onboarding semantic-search neural-search jina

MySemanticSearch Sample

MySemanticSearch is a sample content management application that demonstrates semantic search capabilities introduced in SQL Server 2012. MySemanticSearch allows you to visualize tag clouds for content stored in FileTables and find similar content using semantic search.

filetable semantic-search sql-server-2012 filestream office-open-xml search

Semantic-Search-for-Sustainable-Development - Semantic Search for Sustainable Development is experimental code for searching documents for text that "semantically" corresponds to any of the UN's Sustainable development goals/targets

Python

Semantic Search for Sustainable Development is experimental code for searching documents for text that "semantically" corresponds to any of the UN's Sustainable development goals/targets. For example, it can be used to mine the national development plan documents of a country and identify pieces of text that correspond to any of the SDGs in order to verify alignment of the plan with the SDGs.

ibm-research-ai sdg semantic-search

code_search - Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Jupyter

You can use these container to reproduce the environment the authors used for this tutorial. Incase it is helpful, I have provided a requirements.txt file, however, we highly recommend using the docker containers provided below as the dependencies can be complicated to build yourself. hamelsmu/ml-gpu: Use this container for any gpu bound parts of the tutorial. We recommend running the entire tutorial on an aws p3.8xlarge and using this image.

machine-learning nlp deep-learning tensorflow keras pytorch fastai search-algorithm semantic-search semantic-search-engine search searching-algorithms tutorial data-science natural-language-processing machine-learning-on-source-code ml-on-code code-search

jinabox.js - A lightweight, customizable omnibox in Javascript, for use with a Jina backend.

Javascript

jinabox.js is a lightweight, customizable set of components for querying and displaying results from Jina flows. You can use it for searching text, images, videos, audio or any kind of data with a Jina backend.