Home > Article > Technology peripherals > Let’s talk about vector database and RAG after the OpenAI Developer Conference in this forum.
The OpenAI Developer Conference more than ten days ago brought an earthquake to the entire industry. The newly launched Assistants API provides new functions such as code interpreters, retrieval, and function calls to help developers build high-quality AI applications.
As a result, topics such as "OpenAI supports RAG, have vector databases fallen out of favor?" once became a hot topic of discussion.
Many practitioners have said that although RAG seems perfect, at present, the vector database is still a link that cannot be ignored, and it itself is also a basic component of RAG.
Although the technical threshold of vector database and RAG is not high, they will still face various problems in practical applications
How to use the plug-in knowledge base and the greatest value of vector databases, how to build a vector database from 0 to 1, how to design technical architecture, how to break through key technical bottlenecks, how to use RAG and vector databases to build an enterprise knowledge base, and what detours are easy to take during technology implementation. , are there any pitfall avoidance guides, etc., are all obstacles to technology application and industry development.
It can be seen that for the fields of RAG and vector databases, technical practices and first-line implementation scenarios still require continuous exploration and exploration.
#In addition to best practices, an unavoidable challenge in the field of large models is that they change too fast. Do vector databases still have a future? How does RAG come to fruition? Is it worth investing in? How will its future develop?
Similar to this kind of thinking and discussion about the future of technology and technical vision, it is increasingly important in the era of rapid change, and will guide enterprises in the field of large models to optimize their strategic layout and guide practitioners to complete Career advancement and career planning.
11.24-11.25, the "Vector Database in the Era of Large Models" AI Technology Forum , exclusively planned by this site, sincerely invites you to come and discuss together. .
PS. The knowledge graph of the vector database has been officially completed. You are welcome to find Alice to get it.
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