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Vector Search, Hybrid Search, and Graph RAG: Understanding the Differences

Blog post from DataStax

Post Details
Company
Date Published
Author
Dr. Charna Parkey
Word Count
524
Company Posts That Month
16
Language
English
Hacker News Points
-
Post removed?
No
Summary

Astra DB supports vector-only, hybrid, and graph RAG searches on a single vector collection, enabling users to switch between search strategies as needed. The database stores embeddings, content, and metadata together, facilitating flexible data management. Astra DB offers various development tools, including the Data API, Langflow, and Python libraries like LangChain Graph Retriever, making it easy for developers to start building AI applications. Charna Parkey, a seasoned tech executive and expert in B2B AI products, emphasizes the importance of using AI in transparent and accountable ways to combat systemic oppression. She hosts the podcast Open Source Data, exploring the intersection of AI development, regulation, academia, and industry, with the goal of mitigating risk and driving forward responsible AI system design.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
RAG 6 1,877 255 94 +10%
LLM 3 4,963 768 216 -13%
Vector Search 3 2,390 404 144 +11%
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