A deep dive into RAG and vector databases: the key to rapid, low-cost customization of large models

Today, in the field of artificial intelligence, large-scale models have attracted much attention. However, factors such as high training costs and long training time have become key obstacles that restrict most companies from participating in the field of large-scale models

In this context, vector databases, with their unique advantages, have become a low-cost solution The key to the problem of rapid customization of large models.

Vector database is a technology specifically used to store and process high-dimensional vector data. It uses efficient indexing and query algorithms to achieve rapid retrieval and analysis of massive data. In addition to such excellent performance, vector databases can also provide customized solutions for specific fields and tasks.

Technology giants such as Tencent and Alibaba have invested in the research and development of vector databases, hoping to achieve breakthroughs in the field of large models. Many small and medium-sized companies are also using the capabilities of vector databases to quickly enter the large model market and compete for opportunities

Recently released multiple industry research reports on vector databases show that vector databases will become the mainstream of data storage and processing in the future Trend, the market scale is expected to expand rapidly

It can be said that vector database has become an important driving force in promoting the development of artificial intelligence technology. In this technological revolution, the first to seize the development opportunities of vector databases will be more likely to lead the future technological trend.

                                                                              ^{Figure 1. VectorDB application process. Image source: https://www.pinecone.io/learn/vector-database/}

Currently, low-cost and rapid customization of large models has become a reality.

For many developers, the learning threshold for fine-tuning large models is not high, and it is easy to get started by self-study. However, various problems still occur in practical applications.

How to give full play to the value of plug-in knowledge bases and vector databases, how to build a vector database from scratch, how to design technical architecture, how to break through key technical bottlenecks, how to use RAG and vector databases to build enterprise knowledge bases, What problems and confusions are easily encountered in the process of technology implementation, are there any guides to avoid errors, etc. These are all obstacles in technology application and industry development

Obviously, for the fields of RAG and vector databases, We still need to continue to explore and explore technical practices and first-line implementation scenarios

In addition to best practices, an unavoidable challenge in the field of large models is that changes too fast.

A few days ago, OpenAI’s first developer conference caused a huge sensation and was widely regarded as an important event that changed the existing large-scale model landscape. What impact will this have on the development of the vector database industry? RAG is in the spotlight again, is it still worth investing in? What technologies will be able to replace it in the future...

Thoughts and discussions like this about the future of technology and its vision are increasingly important in the era of rapid change, and will guide enterprise optimization strategies in the field of large models. Layout and guide practitioners to complete career upgrade and career planning.

Based on this, this site has specially planned an AI technology forum with the theme of "Vector database in the era of large models".

The rewritten content is: The forum lasts for two days. We focus not only on the technical implementation and breakthroughs of RAG and vector databases, but also on industry best practices and explore how vector databases can be efficiently applied in the era of large models. What are the usage scenarios? In addition, we will also pay attention to the future development direction of vector databases, and how companies and individuals can use this trend for strategic layout and career upgrades

I believe this technical forum will definitely bring you inspiration and gain.

The rewritten content is: Double Eleven ticket purchase discount

During the Double Eleven promotion period, Forum 2-day pass, the lowest price is only 1999 yuan/ Zhang, including 2 days of buffet lunch at a five-star hotel, come and sign up now!

Scan the QR code in the picture to go directly to the official website of the forum. From now until 23:55 on November 19, if you purchase a ticket to participate in the conference, you can enjoy a direct discount of 2,000 yuan on the ticket. The discounted ticket price is first come, first served.

Please add your assistant Alice’s WeChat to get the exclusive discount link for participants of the first issue of this site’s AI technology forum “Llama 2 Large Model Algorithm and Application Practice”

Forum Schedule

Two mysterious guests have been confirmed. They are Professor Zhang Qi of Fudan University and Teacher Chen Qi, chief researcher of Microsoft Research Asia. Let us learn about the content and schedule of their speeches

This forum focuses on industry technology exchanges. The guests’ sharing is all technical information and does not contain product advertisements. (If you want to learn about related products or projects, please visit the booth area)

Technical Exchange Community

In order to facilitate technical exchanges, we have also specially established a vector database technology exchange group. Welcome to care about vector databases and knowledge Technical practitioners in the library scan the QR code to join the conversation and exchange in-depth technical details and industry observations.

Regarding issues related to business cooperation, group purchasing, invoices, content and other related issues for this event, please add Alice (WeChat: 15650753618) or consult via email (jiayaning@jiqizhixin.com) .

Please welcome everyone to participate in this forum. Our purpose is to promote exchanges between industries. If you have any ideas or feedback please feel free to get in touch with Alice, she will be happy to chat with you

^{Please check out the link below:}

^{https://www.pinecone.io/learn/vector-database/}

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