Strongest current signal
Package downloads
6.1M/30d
Across npm and PyPI
▼ -3%
Vector database for AI applications. Powers semantic search and RAG.
Best current coverage: 6.1M downloads/30d, 546 dependents, and 7.8K public repos.
Lead signals
Package pull and public code usage both show up clearly for Pinecone.
Strongest current signal
6.1M/30d
Across npm and PyPI
546
Known dependents across npm and PyPI
3.0K
Main repository stars
13/30d
Ranked #19 in category discussion
Research Brief
No recent Research Brief centers Pinecone yet. Start with the latest market reporting, then return here for the stored company signals on this page.
Browse Research Briefs →Reading
package pull and existing public code are the clearest current signals for Pinecone.
Package pull
6.1M/30d
Tracked package pull across npm and PyPI
Existing public code
7.8K
Public repositories importing tracked packages
Downstream usage
546
Known dependent packages across both registries
GitHub attention
3.0K
Main repository stars
Coverage includes npm and PyPI registries, GitHub, public code import detection, developer discussion, and recent company news where available. As of April 13, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to Pinecone.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Pinecone is the leading vector database for AI. Powers semantic search, RAG, and recommendation systems. Used by thousands of companies. Raised $100M Series B.
Raised $138M total - DAI rank #41 suggests moderate developer adoption relative to funding.
Andreessen Horowitz
Menlo Ventures
Wing Venture Capital
41K npm · 33K PyPI(50% of company total)
Vector database for AI applications. Powers semantic search and RAG.
41K npm · 33K PyPI(50% of company total)
A managed vector database designed for AI applications, enabling efficient storage, indexing, and search of high-dimensional vectors for semantic search, RAG, and recommendation systems.
Public pricing snapshots collected for Pinecone
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Historical metrics for Pinecone
Pinecone: npm Downloads down 91% (452.0K to 40.6K). PyPI Downloads down 91% (368.3K to 32.8K). GitHub Stars up 0% (3.0K to 3.0K).
| Date | npm Downloads | PyPI Downloads | GitHub Stars |
|---|---|---|---|
| Mar 15, 2026 | 452.0K | 368.3K | 3.0K |
| Mar 22, 2026 | 349.8K | 347.5K | 3.0K |
| Mar 29, 2026 | 568.9K | 328.6K | 3.0K |
| Apr 5, 2026 | 551.1K | 371.0K | 3.0K |
| Apr 12, 2026 | 329.4K | 214.7K | 3.0K |
| Apr 13, 2026 | 40.6K | 32.8K | 3.0K |