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.