Search and Retrieval

Search and retrieval in Vectara delivers precise, relevant, and high-performing search results tailored to the needs of your application. By combining advanced AI models with innovative search techniques, Vectara ensures that you can query and organize your data effectively, regardless of scale or complexity. This section introduces the core tools and strategies available for optimizing your search and retrieval workflows.

Boomerang

Learn about our advanced embedding and retrieval model optimized for semantic search and Retrieval-Augmented Generation (RAG).

Boomerang delivers low-latency, high-precision performance suitable for production use.

Hybrid Search and Retrieval

Explore how Vectara combines semantic search with traditional search techniques to maximize accuracy and performance.

Vectara enables you to balance exact keyword search with advanced semantic retrieval for domain-specific needs.

Traditional Keyword Search

Enable precise keyword matching for exact phrases, error codes, or legal clauses.

Ideal for use cases that demand specificity, it ensures reliable results tailored to your needs.

Querying Table Data

Extract valuable insights from structured tabular data in PDFs from financial reports, research, and beyond.

Query specific cells, rows, or entire tables to access actionable information for analysis or decision-making.

Pagination

Improve search navigation by customizing how results are displayed.

Adjust the number of results per page and enable seamless browsing through long result lists.

Recommendation System

Deliver highly relevant content or product suggestions using Vectara’s semantic recommendation capabilities.

Fine-tune recommendations for exact matches, near-duplicates, or specific document fields.

Rerank Search Results

Boost search accuracy with advanced reranking methods like multilingual ranking, diversity-focused MMR, and custom logic.

Apply cutoffs and limits to refine results and improve information quality.