Search
Use these search how-to guides to find the data you want.
Learn fundamental search syntax and how to retrieve specific object properties.
Find objects based on vector embedding similarity using `nearVector`, `nearObject`, etc.
Perform vector similarity searches using images as the query input.
Execute keyword searches ranked relevance using the BM25F algorithm.
Combine keyword (BM25F) and vector similarity search results with fusion algorithms.
Use search results to provide context and augment prompts for Large Language Models.
Refine and re-order search results using integrated reranker modules.
Perform aggregate operations like count, mean, sum, etc., on search result sets.
Apply conditional filters, such as `where` clauses, to narrow down search results.
Questions and feedback
If you have any questions or feedback, let us know in the user forum.