#python #adblock #containers #cross_platform #degoogle #docker #easy_deploy #flask #heroku #metasearch #metasearch_engine #mobile #no_javascript #noscript #privacy #python3 #remove_ads #search #search_engine #webapp

https://github.com/benbusby/whoogle-search

#rust #bloom_filter #elasticlunr #lunrjs #search_engine #static_site #wasm

https://github.com/mre/tinysearch

#go #classification #contextual_search #database #deep_learning #deep_search #graphql #knn_search #machine_learning #neural_search #restful_api #search_engine #search_engines #semantic_search #semantic_search_engine #vector_database #vector_search #vector_search_engine #vectors #weaviate

https://github.com/semi-technologies/weaviate

#java #analytics #apache2 #foss #search #search_engine

https://github.com/opensearch-project/OpenSearch

#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

#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

#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

#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

#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

#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

#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

#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

#rust #big_data #cloud_native #cloud_storage #distributed_tracing #log_management #logs #open_source #search_engine #tantivy

https://github.com/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

#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

#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

#rust #search #search_engine #web

https://github.com/StractOrg/stract

#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