#cplusplus #search #search_engine #cpp #raft #fuzzy_search #synonyms #full_text_search #instantsearch #curation #enterprise_search #typo_tolerance #site_search #faceting #typesense #app_search
https://github.com/typesense/typesense
https://github.com/typesense/typesense
GitHub
GitHub - typesense/typesense: Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡…
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences -...
#rust #search_engine #machine_learning #algorithm #neural_network #high_performance #artificial_intelligence #simd #data_structures #image_search #recommender_system #approximate_nearest_neighbor_search #similarity_search #k_nearest_neighbors #hnsw #vector_search
https://github.com/hora-search/hora
https://github.com/hora-search/hora
GitHub
GitHub - hora-search/hora: 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 . - GitHub - hora-search/hora: 🚀 efficient approximate nearest neighbor search algorithm collectio...
#python #ai #bert #dpr #elasticsearch #information_retrieval #language_model #machine_learning #natural_language_processing #neural_search #nlp #pytorch #question_answering #search_engine #semantic_search #squad #summarization #transfer_learning #transformers
https://github.com/deepset-ai/haystack
https://github.com/deepset-ai/haystack
GitHub
GitHub - deepset-ai/haystack: AI orchestration framework to build customizable, production-ready LLM applications. Connect components…
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data...
#other #awesome #awesome_list #awesome_lists #bugbounty #dns #domain #exploit #hacking #hacking_tools #osint #osint_tool #redteam #redteaming #search_engine #security #security_tools #url #vulnerabilities #vulnerability #wifi_network
https://github.com/edoardottt/awesome-hacker-search-engines
https://github.com/edoardottt/awesome-hacker-search-engines
GitHub
GitHub - edoardottt/awesome-hacker-search-engines: A curated list of awesome search engines useful during Penetration testing,…
A curated list of awesome search engines useful during Penetration testing, Vulnerability assessments, Red/Blue Team operations, Bug Bounty and more - edoardottt/awesome-hacker-search-engines
#cplusplus #api #bm25 #cpp #database #full_text_search #json #mysql #search #search_api #search_engine #search_server #sphinxsearch #sql #stream_filtering
https://github.com/manticoresoftware/manticoresearch
https://github.com/manticoresoftware/manticoresearch
GitHub
GitHub - manticoresoftware/manticoresearch: Easy to use open source fast database for search | Good alternative to Elasticsearch…
Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK stack - manticoresoftware/manticoresearch
#python #bert #embedding #ernie #information_extraction #neural_search #nlp #paddlenlp #pretrained_models #question_answering #search_engine #semantic_analysis #sentiment_analysis #seq2seq #transformer #transformers #uie
https://github.com/PaddlePaddle/PaddleNLP
https://github.com/PaddlePaddle/PaddleNLP
GitHub
GitHub - PaddlePaddle/PaddleNLP: Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Easy-to-use and powerful LLM and SLM library with awesome model zoo. - PaddlePaddle/PaddleNLP
#rust #approximate_nearest_neighbor_search #embeddings_similarity #hnsw #image_search #knn_algorithm #machine_learning #matching #mlops #nearest_neighbor_search #neural_network #neural_search #recommender_system #search #search_engine #search_engines #similarity_search #vector_database #vector_search #vector_search_engine
https://github.com/qdrant/qdrant
https://github.com/qdrant/qdrant
GitHub
GitHub - qdrant/qdrant: Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation…
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ - qdrant/qdrant
#python #chatgpt #clip #deep_learning #gpt #hacktoberfest #hnsw #information_retrieval #knn #large_language_models #machine_learning #machinelearning #multi_modal #natural_language_processing #search_engine #semantic_search #tensor_search #transformers #vector_search #vision_language #visual_search
https://github.com/marqo-ai/marqo
https://github.com/marqo-ai/marqo
GitHub
GitHub - marqo-ai/marqo: Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai - marqo-ai/marqo
#rust #big_data #cloud_native #cloud_storage #distributed_tracing #log_management #logs #open_source #search_engine #tantivy
https://github.com/quickwit-oss/quickwit
https://github.com/quickwit-oss/quickwit
GitHub
GitHub - quickwit-oss/quickwit: Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch…
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo. - quickwit-oss/quickwit
#python #ai #chat #chatgpt #emacs #llm #markdown #obsidian_md #org_mode #personal_assistant #productivity #search_engine #semantic_search #sentence_transformer
https://github.com/khoj-ai/khoj
https://github.com/khoj-ai/khoj
GitHub
GitHub - khoj-ai/khoj: Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule…
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous ...
#python #embeddings #information_retrieval #language_model #large_language_models #llm #machine_learning #nearest_neighbor_search #neural_search #nlp #search #search_engine #semantic_search #sentence_embeddings #similarity_search #transformers #txtai #vector_database #vector_search #vector_search_engine
https://github.com/neuml/txtai
https://github.com/neuml/txtai
GitHub
GitHub - neuml/txtai: 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows - neuml/txtai
#python #ai_search #bigquery #django #federated_query #federated_search #gpt #hacktoberfest #large_language_models #metasearch #relevancy #search #search_engine
https://github.com/swirlai/swirl-search
https://github.com/swirlai/swirl-search
GitHub
GitHub - swirlai/swirl-search: AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across…
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months. - swirlai/swirl-search
#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
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
GitHub
GitHub - weaviate/weaviate: Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination…
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of ...
#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
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
GitHub
GitHub - elastic/elasticsearch: Free and Open Source, Distributed, RESTful Search Engine
Free and Open Source, Distributed, RESTful Search Engine - 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
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
GitHub
GitHub - meilisearch/meilisearch: A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. - 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
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
GitHub
GitHub - ItzCrazyKns/Perplexica: Perplexica is an AI-powered answering engine. It is an Open source alternative to Perplexity AI
Perplexica is an AI-powered answering engine. It is an Open source alternative to Perplexity AI - 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
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
GitHub
GitHub - benbusby/whoogle-search: A self-hosted, ad-free, privacy-respecting metasearch engine
A self-hosted, ad-free, privacy-respecting metasearch engine - 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
**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
GitHub
GitHub - MUTED64/SearchEngineJumpPlus: 增强版搜索引擎跳转脚本,优化一些使用体验,Tampermonkey Userscript
增强版搜索引擎跳转脚本,优化一些使用体验,Tampermonkey Userscript. Contribute to MUTED64/SearchEngineJumpPlus development by creating an account on GitHub.