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#go #approximate_nearest_neighbor_search #generative_search #grpc #hnsw #hybrid_search #image_search #information_retrieval #mlops #nearest_neighbor_search #neural_search #recommender_system #search_engine #semantic_search #semantic_search_engine #similarity_search #vector_database #vector_search #vector_search_engine #vectors #weaviate

Weaviate is a powerful, open-source vector database that uses machine learning to make your data searchable. It's fast, scalable, and flexible, allowing you to vectorize your data at import or upload your own vectors. Weaviate supports various modules for integrating with popular AI services like OpenAI, Cohere, and Hugging Face. It's designed for production use with features like scaling, replication, and security. You can use Weaviate for tasks beyond search, such as recommendations, summarization, and integration with neural search frameworks. It offers APIs in GraphQL, REST, and gRPC and has client libraries for several programming languages. This makes it easy to build applications like chatbots, recommendation systems, and image search tools quickly and efficiently. Joining the Weaviate community provides access to tutorials, demos, blogs, and forums to help you get started and stay updated.

https://github.com/weaviate/weaviate
#java #elasticsearch #java #search_engine

Elasticsearch is a powerful tool that helps you search and analyze large amounts of data quickly. It allows you to perform near real-time searches, vector searches, and integrate with AI applications. You can use it for various tasks like full-text search, logging, metrics, application performance monitoring, and security logs. To get started, you can set up Elasticsearch locally using Docker with a simple script, which includes a trial license for all features. This setup is easy and secure for local testing, and you can access your data through REST APIs or tools like Kibana. This makes it easier to manage and analyze your data efficiently.

https://github.com/elastic/elasticsearch
#rust #app_search #database #enterprise_search #faceting #full_text_search #fuzzy_search #geosearch #hybrid_search #instantsearch #rest #rust #search #search_as_you_type #search_engine #semantic_search #site_search #synonyms #typo_tolerance #vector_database #vectors

Meilisearch is a fast and powerful search engine that you can easily integrate into your apps, websites, and workflow. It offers features like hybrid search, search-as-you-type, typo tolerance, filtering, and sorting to enhance the user experience. You can customize it to fit your needs with support for multiple languages and advanced security management. It's easy to install, deploy, and maintain, and you can use their cloud service for added convenience. Meilisearch also provides extensive documentation, SDKs for various programming languages, and a supportive community through Discord and other channels. This makes it a great tool to supercharge your search capabilities quickly and efficiently.

https://github.com/meilisearch/meilisearch
#typescript #ai_search_engine #artificial_intelligence #machine_learning #open_source_ai_search_engine #open_source_perplexity_ai #perplexica #perplexity_ai #search_engine #searxng #searxng_copilot

Perplexica is an AI-powered search engine that deeply searches the internet to find accurate answers. It uses advanced machine learning to understand your questions and provide clear results with sources. Here are the key benefits Perplexica ensures you get the latest information without compromising your privacy.
- **Multiple Search Modes** You can use local language models for more personalized searches.
- **API Integration** It can be set up using Docker for a simpler process.

Overall, Perplexica enhances your search experience by providing relevant and current information while respecting your privacy.

https://github.com/ItzCrazyKns/Perplexica
#python #adblock #docker #easy_deploy #flask #heroku #metasearch #metasearch_engine #privacy #python #search #search_engine

Whoogle is a search engine that lets you use Google search without ads, JavaScript, cookies, or IP address tracking. It filters out unwanted content and can be easily set up using various methods like Docker, Heroku, or manual installation. You can customize it with environment variables and set it as your primary search engine on desktop and mobile devices. However, as of January 16, 2025, Google may no longer support JavaScript-free search results, which could affect Whoogle's functionality. The developer is looking into workarounds for this issue. Using Whoogle benefits you by providing a private and ad-free search experience.

https://github.com/benbusby/whoogle-search
#javascript #search_engine #tampermonkey #userscript

**SearchEngineJumpPlus** is a helpful tool that lets you quickly switch between different search engines. It shows a small bar on search pages, allowing you to click and jump to other search engines with the same search terms. You can also use it to search selected text on a webpage by highlighting it. This tool supports many search engines and websites, making it easy to compare results across different platforms. It helps save time by automating the process of searching on multiple sites.

https://github.com/MUTED64/SearchEngineJumpPlus