
SpecialistWeb search API and crawler built for AI agents
Shaped: Relevance engine combining vector search with behavioral machine learning models, optimized for recommendation systems rather than raw retrieval. Pinecone records 286,732 monthly visits with -31% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Shaped records 11,871 monthly visits with -39.2% growth and Contact for Pricing pricing.

The relevance engine with a built-in feedback loop
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | pinecone.io | shaped.ai |
| Pricing Model | Freemium, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 286.73K (286,732) | 11.87K (11,871) |
| MoM Traffic Delta | -128.88K (-31%) | -7.65K (-39.2%) |
| Primary Market & Share | 🇺🇸 United States (30.2%) | 🇺🇸 United States (36.4%) |
| Direct Visits / mo | 118.64K | 4.73K |
| User Rating | 4.8 | 4.8 |
| Supported Platforms | Website | Website |
The managed vector database and knowledge engine for production AI
Store and query vector embeddings with automatic indexing that requires no manual tuning or algorithm selection.
Writes are acknowledged in under 100ms and become searchable within seconds, while all data is searched in parallel so speed holds at scale.
Connect agents to Pinecone through plugins for Claude Code, Cursor, Copilot, Codex, Gemini CLI, MCP, or a direct REST API with one key.
Serve compiled, governed enterprise knowledge to agents through a single query, cutting token usage and latency versus multi-step RAG loops.

The relevance engine with a built-in feedback loop
Retrieve, filter, score, and re-rank across semantic search, keyword search, and behavioral models in a single SQL-like query.
Blends semantic and keyword retrieval, then re-ranks results by predicted click-through and engagement for each individual user.
ML models retrain on live interaction signals so ranking quality improves automatically as your product generates traffic.
Stream data directly from warehouses, analytics tools, and event pipelines like Snowflake, Kafka, BigQuery, and Shopify with no ETL.

SpecialistWeb search API and crawler built for AI agents
SpecialistAI search and retrieval platform for modern apps and commerce

Search foundation built from embeddings, rerankers, and reader APIs

SpecialistA memory and continual-learning engine that gives any AI agent persistent context
SpecialistA memory and continual-learning engine that gives any AI agent persistent context

Free / Open-sourceLightning-fast search engine you can self-host or run in the cloud
Free / Open-sourceLightning-fast search engine you can self-host or run in the cloud

Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus
Fully managed Vector Lakebase and vector database for enterprise AI, built by the creators of Milvus
Free / Open-sourceOpen-source, high-performance vector search at any scale

Free / Open-sourceGraph database built on object storage for agent memory and context
Free / Open-sourceGraph database built on object storage for agent memory and context
SpecialistSQL-native vector database for production GenAI applications
SpecialistSQL-native vector database for production GenAI applications

SpecialistManaged RAG API that handles end-to-end document ingestion and parsing, whereas Pinecone focuses purely on vector storage.
SpecialistManaged RAG API that handles end-to-end document ingestion and parsing, whereas Pinecone focuses purely on vector storage.

Serverless vector database purpose-built for AWS
Serverless vector database purpose-built for AWS
SpecialistGraph, vector and text retrieval for AI agents on your Postgres
SpecialistGraph, vector and text retrieval for AI agents on your Postgres