{"category":{"slug":"vector-database-tools","label":"Vector database tools"},"methodology_url":"https://www.orbator.io/ai-index/methodology","license":"Free to use with attribution to orbator.io","date":"2026-06-23","engine":null,"available_dates":["2026-08-07","2026-08-06","2026-07-28","2026-07-25","2026-07-24","2026-07-20","2026-07-17","2026-07-16","2026-07-04","2026-07-03","2026-06-23","2026-06-17","2026-06-16"],"policy":{"quotable_engines":["anthropic","openai","gemini"],"max_excerpt_chars":400,"full_text_public":false,"customer_runs_public":false,"full_text_retention":"retained at least 24 months, then operator review","notes":["Only Index category runs are archived publicly — customer scans never appear.","The quotable unit is a short excerpt of at most 400 characters, never the full answer.","Engines outside the verbatim allowlist are recorded as having answered, with the excerpt withheld under their terms.","Prompt intent is published; the prompt text itself is not."]},"status":"ok","count":2,"limit":50,"truncated":false,"engines":[{"engine":"gemini","count":2,"withheld":false,"answers":[{"engine":"gemini","answered_on":"2026-06-23","prompt_intent":"best_in_category","excerpt":"Vector databases are critical infrastructure for modern AI and machine learning applications, enabling efficient storage, indexing, and retrieval of high-dimensional vector embeddings. These embeddings, numerical representations of data like text, images, and audio, allow for semantic similarity searches, which are crucial for applications such as Retrieval-Augmented Generation (RAG), AI agents, r","excerpt_withheld":false,"withheld_reason":null,"highlights":[]},{"engine":"gemini","answered_on":"2026-06-23","prompt_intent":"best_in_category","excerpt":"For building semantic search and Retrieval-Augmented Generation (RAG) applications, several managed vector databases stand out due to their specialized features, scalability, and ease of use. The \"best\" choice often depends on specific project requirements, including scale, budget, desired level of control, and complexity of queries.\n\nHere are some of the top managed vector databases and their key","excerpt_withheld":false,"withheld_reason":null,"highlights":[]}]}]}