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Pinecone Hybrid Search
Shares tags: analyze, rag, retrievers
AI Tool
Unlock Next-Level Search with Weaviate Hybrid Retrieval
Seamlessly blend BM25 and vector signals for unparalleled search precision.
Visit Weaviate Hybrid Retrieval→
AnalyzeRAGRetrievers
1Experience enhanced relevance with our new Relative Score Fusion algorithm, now the default for hybrid retrieval.
2Fine-tune your search balance between semantic and keyword queries with the flexible alpha parameter.
3Leverage multimodal and multilingual support to index and retrieve diverse content types effectively.
overview
What is Weaviate Hybrid Retrieval?
Weaviate Hybrid Retrieval is an advanced module that combines BM25 keyword searches with vector signals to deliver optimized search results. Whether you're gathering data from text, images, or audio, this tool equips developers and businesses with the means to achieve precise information retrieval.
- 1Blends traditional and modern retrieval techniques
- 2Adaptable to various content formats, enhancing versatility
- 3Designed for developers and enterprises seeking AI-powered solutions
features
Key Features
Weaviate Hybrid Retrieval offers state-of-the-art functionality that streamlines search processes while maintaining exceptional performance. Its features cater to a wide range of applications from chatbots to recommendation systems.
- 1Relative Score Fusion for improved search result relevance
- 2Customizable search behavior with the alpha parameter
- 3Built-in vectorization and managed embeddings simplify development
use cases
Perfect for AI-Powered Applications
Designed for teams working with complex datasets, Weaviate Hybrid Retrieval supports use cases in AI, grabbing attention in areas like retrieval-augmented generation and intelligent recommendation engines. This versatility fosters innovation in search technologies and chatbots.
- 1Ideal for building advanced AI search systems
- 2Facilitates chatbot solutions that require deep comprehension
- 3Supports RAG workflows to enhance content generation efforts
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Frequently Asked Questions
+What is Relative Score Fusion?
Relative Score Fusion is the default algorithm in Weaviate Hybrid Retrieval that normalizes scores between vector and keyword searches, resulting in more relevant and nuanced search results.
+How does the alpha parameter work?
The alpha parameter allows users to fine-tune the balance between semantic and keyword searches, enabling customization based on the specific needs of various applications.
+Can I use Weaviate for multimodal search?
Yes, Weaviate Hybrid Retrieval supports multimodal search across text, images, audio, and video, making it suitable for diverse content retrieval needs.