Awesome papers and technical blogs on vector DB
A curated collection of papers and technical blogs focused on vector databases, semantic-based vector search, and approximate nearest neighbor search (ANN Search). These resources are essential for understanding and building large-scale information retrieval systems and vector databases.
About this tool
Awesome papers and technical blogs on vector DB
A curated collection of papers and technical blogs focused on vector databases, semantic-based vector search, and approximate nearest neighbor (ANN) search. These resources are essential for understanding and building large-scale information retrieval systems and vector databases.
Category: Curated Resource Lists
Tags: vector-databases, research, blogs, ann, semantic-search
Source: Zilliz Blog
Features
- Curated collection of technical blogs and research papers on vector databases.
- Covers topics such as:
- Vector databases fundamentals and architecture
- Semantic-based vector search
- Approximate nearest neighbor (ANN) search algorithms
- Retrieval Augmented Generation (RAG) and its applications
- Integration of vector search with AI and machine learning workflows
- Real-world use cases and case studies in industries like legal tech, audio processing, and sustainable fashion
- Benchmarks, best practices, and technical deep-dives
- Includes guides, analyst reports, webinars, and tutorials related to vector search and database technology.
- Highlights open-source projects such as Milvus and their integration in various scenarios.
- Community-driven content, including discussions on ETL for unstructured data and multimodal AI advancements.
Use Cases
- Building and scaling large-scale information retrieval systems
- Integrating semantic and vector search into AI applications
- Enhancing document analysis, contract review, and legal research
- Developing multimodal AI solutions bridging text, audio, and vector data
- Benchmarking and comparing vector database solutions and tools
Pricing
Not applicable (resource list; access to blog and resources is free).
For more information and to access the full collection, visit the Zilliz Blog.
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6 result(s)A curated GitHub repository of research papers and technical blogs focused on vector search, approximate nearest neighbor search (ANN Search), and vector databases. This resource serves as a comprehensive directory for foundational and cutting-edge research, making it highly relevant for anyone building or exploring vector database technologies.
Adanns is a framework for adaptive semantic search, focusing on efficient and scalable similarity search in high-dimensional vector spaces. Its relevance to 'Awesome Vector Databases' lies in its support for advanced vector search techniques suitable for AI and machine learning applications.
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