Nomic Atlas Retriever
Shares tags: analyze, indexing & search, retrievers
AI Tool
Unlock the Power of Precision with Elastic Learned Sparse Retriever
Revolutionize your search capabilities with advanced retrieval technology integrated into Elasticsearch.
Achieve superior retrieval accuracy with 60-120% faster inference in ELSER v2.Enjoy seamless one-click deployment for non-experts, eliminating the need for fine-tuning.Maximize relevance with integrated hybrid search capabilities and support for external models.
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AnalyzeIndexing & SearchRetrievers
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overview
What is Elastic Learned Sparse Retriever?
Elastic Learned Sparse Retriever (ELSR) is a cutting-edge sparse retrieval solution built into Elasticsearch, specifically designed for Retrieval-Augmented Generation (RAG) applications. It combines efficiency with accuracy, empowering organizations to conduct high-relevance searches across various data types and formats.
- Optimized for traditional and generative AI applications.
- Handles private and domain-specific data with precision.
features
Key Features of ELSR
ELSR comes equipped with a suite of features that significantly enhance the search experience. From faster processing speeds to flexible model integration, ELSR meets the needs of diverse user bases.
- Significantly improved inference speed and retrieval accuracy.
- Seamless integration with lexical and vector search technologies.
- Supports external models for optimal performance.
use_cases
Who Can Benefit from ELSR?
ELSR is designed for organizations that prioritize both accuracy and interpretability in search capabilities. From large enterprises to niche startups, ELSR caters to any user looking to leverage advanced retrieval systems effectively.
- Data-driven organizations aiming for high relevance in search results.
- Developers seeking a user-friendly deployment process.
- Teams handling sensitive or specialized data needing reliable retrieval.
Frequently Asked Questions
What improvements does ELSER v2 offer over v1?
ELSER v2 features a 60-120% increase in inference speed and enhanced retrieval accuracy due to an expanded training dataset and a refined FLOPS regularizer.
Is ELSR easy to deploy for non-technical users?
Yes, ELSR is designed with ease of use in mind, featuring a one-click deployment process that allows non-experts to utilize advanced search capabilities without extensive technical knowledge.
Can ELSR integrate with other models outside of Elasticsearch?
Absolutely! ELSR supports external models such as those from Hugging Face, providing users with flexible retrieval options between dense and sparse embeddings.