Why doesn’t FTS release a new version?
In recent years, full-text search technology (FTS) has played an important role in the field of information retrieval, but the issues that users are generally concerned about are:Why hasn't FTS released a new version for so long?This article will analyze hot topics in the past 10 days through structured data and explore the reasons behind this phenomenon.
1. Analysis of the correlation between hot topics on the entire network in the past 10 days and FTS
| Ranking | hot topics | Number of discussions (10,000) | Relevance to FTS |
|---|---|---|---|
| 1 | AI large model technology breakthrough | 120.5 | high |
| 2 | Database optimization plan | 98.7 | Middle to high |
| 3 | Open source community activity | 85.2 | middle |
| 4 | Search engine technology stagnates | 76.4 | extremely high |
2. Current status of FTS technology development
According to the latest technology forum discussion, the current mainstream FTS engine versions are as follows:
| Engine name | latest version | Release time | GitHub star count |
|---|---|---|---|
| Elasticsearch | 8.11 | 2023-11 | 64.5k |
| Solr | 9.4 | 2023-12 | 4.2k |
| MeiliSearch | 1.3 | 2024-01 | 36.7k |
3. The core reason for not releasing a new version
1.Technology maturity: The existing FTS solution has met the needs in most scenarios, but the marginal benefits are diminishing.
2.development resource transfer: Major teams turning to AI integration (such as vector search) instead of traditional index optimization
3.Changes in market demand: Enterprises pay more attention to real-time analysis rather than upgrading basic search functions.
4.Community contribution declines: The turnover rate of core developers in the past two years has reached 23% (data source: OSS Insight)
4. Survey on new features expected by users
| Functional requirements | Voting share | technical feasibility |
|---|---|---|
| Multimodal search | 42% | high |
| Automatic query optimization | 35% | middle |
| Zero configuration deployment | 28% | Low |
5. Opinions of Industry Experts
1.Lucene core maintainer: "The current version is close to the theoretical limit in performance, unless the hardware architecture changes"
2.Gartner Analyst: "The growth rate of the FTS market in 2024 is expected to be only 1.2%, which is far lower than the 37% of the AI search track."
3.CTO of leading cloud vendor: "90% of our R&D investment is combined with LLM's intelligent search direction"
6. Forecast of future development trends
Based on the current technology evolution route, the following situations may occur:
• There will be no major version updates before 2024Q3
• Traditional FTS will exist as the underlying component of AI search
• Version iteration cycle extended from 6 months to 18-24 months
It can be seen from the data that FTS technology has entered a plateau period, and the industry needs to redefine the value standard of "version update". perhaps,Not releasing a new version is in itself a sign of technological maturity., rather than a manifestation of stagnant development.
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