Implementing Filtered Semantic Search Using Pgvector and JavaScript
Blog post from Tiger Data
This article explores semantic search with filters and demonstrates how you can implement it using pgvector and JavaScript. Semantic search focuses on understanding the meaning and intent behind a query, leading to more relevant and precise search results. Filters enhance the precision and relevance of semantic search by helping refine search results based on specific attributes. The article also discusses the role of PostgreSQL in implementing filtered semantic search with pgvector and JavaScript/Typescript.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 31 | 2,325 | 291 | 104 | +36% |
| RAG | 3 | 2,503 | 269 | 80 | +39% |
| LLM | 2 | 3,996 | 453 | 162 | -12% |
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