Introducing Vector Search with pgvector in CockroachDB
Blog post from Cockroach Labs
CockroachDB, a resilient and scalable database for AI/ML applications, introduces Vector Search in its 24.2 release. This feature enhances semantic search, recommendation systems, and natural language processing, which are crucial for AI-driven applications like Large Language Models (LLMs). CockroachDB's Vector Search capabilities make it an ideal choice for generative AI applications by combining the strengths of a vector database and an operational database into a single, horizontally scalable solution. The integration of Vector Search with CockroachDB simplifies architecture while eliminating costs associated with maintaining a dedicated vector database. Additionally, support for pgvector's API allows seamless integration with tools like Langchain and Hugging Face, making it easier to incorporate real-time data into AI models.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 26 | 4,713 | 314 | 102 | +27% |
| LLM | 2 | 3,988 | 514 | 165 | -1% |
| RAG | 2 | 2,243 | 291 | 87 | +14% |
| AI Model Fine-tuning | 1 | 918 | 172 | 83 | +34% |
| Real-time | 1 | 4,539 | 1,016 | 242 | +4% |
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