... supports integration with multiple search engines, state of the art AI ... models (think LLMs), work with vector and full text search, implementing embedding of 100s of millions of chunks and search through it. This ...
... , fluent, and expressive language to search data-to-everything. Your work will impact all components and services where searches are generated, stored, processed, and ... data ingestion and storage to searching, reporting, and building dashboards, all ...
... , fluent, and expressive language to search data-to-everything. Your work will impact all components and services where searches are generated, stored, processed, and ... data ingestion and storage to searching, reporting, and building dashboards, all ...
... large language models and vector search technologies to solve complex data ... , and embedding unstructured data, optimizing search performance, and reducing false positives ...
... visitors the site receives from search engines. We are currently looking for ...
... in Elasticsearch or other FTS engines would be a plus Fluent ... several sources and keeping overall search performance and accuracy in check. ...
... and understanding of marketing attribution, Search Engine Marketing and related tools like ...
... leveraging our powerful machine learning engine to deliver high-scale, dynamic ... Software Engineering team is the engine that drives our ambition to ...
... Prompt Engineering), RAG (uwzględniając similarity search vector search, embeddings) oraz agentów. Twoje zrozumienie ...
... project is to implement advanced search functionalities, including semantic search, to enhance the discoverability and ...