Search

Use these search how-to guides to find the data you want.

The query basics page covers basic search syntax and how to specify the properties you want to retrieve.

These guides cover additional search topics:

• Vector similarity search: Covers nearXXX searches that search for objects with the most similar vector embeddings to the query.
• Image search: Use images as input for a similarity search.
• Keyword search: A keyword search that uses the BM25F algorithm to rank results.
• Hybrid search: Combines BM25 and similarity search to rank results.
• Retrieval augmented generation: Use search results as a prompt for an LLM.
• Reranking: Rerank retrieved search results using a reranker module.
• Aggregation: Aggregate data from a results set.
• Filters: Apply conditional filters to the search.

Questions and feedback

If you have any questions or feedback, let us know in the user forum.

• Technical questions
• Documentation feedback