
SpecialistWeb search API and crawler built for AI agents
Ducky records 1,966 monthly visits with -8.4% month-over-month growth and Freemium pricing. Pinecone records 286,732 monthly visits with -31% growth and Freemium, Paid, Contact for Pricing pricing.

Fully managed AI search and RAG infrastructure for developers
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | ducky.ai | pinecone.io |
| Pricing Model | Freemium | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 1.97K (1,966) | 286.73K (286,732) |
| MoM Traffic Delta | -181 (-8.4%) | -128.88K (-31%) |
| Primary Market & Share | 🇺🇸 United States (100%) | 🇺🇸 United States (30.2%) |
| Direct Visits / mo | 774 | 118.64K |
| User Rating | 4.3 | 4.8 |
| Supported Platforms | Website | Website |

Fully managed AI search and RAG infrastructure for developers
Index and search across text, images and PDFs with one API, so content stays searchable regardless of format.
Ducky splits and optimizes documents for retrieval and applies multi-stage reranking so the strongest matches surface first.
Narrow results precisely by attributes such as date, category or tag to build filtered, product-grade search experiences.
Agents can ask questions and receive synthesized answers that cite their sources, with the whole search-to-synthesis pipeline automated.
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.

SpecialistWeb search API and crawler built for AI agents

SpecialistSearch and inference APIs that give AI models real-time web data
SpecialistSearch and inference APIs that give AI models real-time web data
SpecialistAI search and retrieval platform for modern apps and commerce

SpecialistSearch foundation built from embeddings, rerankers, and reader APIs
SpecialistSearch foundation built from embeddings, rerankers, and reader APIs

SpecialistVector-graph memory API designed for persistent AI agent context, offering higher-level agent memory features than Pinecone.
SpecialistVector-graph memory API designed for persistent AI agent context, offering higher-level agent memory features than Pinecone.

SpecialistLightning-fast open-source search engine optimized for keyword and text retrieval, but less tailored for dense vector embeddings.
SpecialistLightning-fast open-source search engine optimized for keyword and text retrieval, but less tailored for dense vector embeddings.

Fully managed Milvus vector database built for massive enterprise scale, offering deeper SQL support than Pinecone.
Fully managed Milvus vector database built for massive enterprise scale, offering deeper SQL support than Pinecone.
Free / Open-sourceOpen-source vector database supporting self-hosting and hybrid search, but requires more infrastructure management than Pinecone.
Free / Open-sourceOpen-source vector database supporting self-hosting and hybrid search, but requires more infrastructure management than Pinecone.
SpecialistA search engine built for AI applications, not just people
SpecialistA search engine built for AI applications, not just people

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
SQL-compatible vector database combining relational queries with similarity search, ideal for complex relational data workflows.
SQL-compatible vector database combining relational queries with similarity search, ideal for complex relational data workflows.

SpecialistRelevance engine combining vector search with behavioral machine learning models, optimized for recommendation systems rather than raw retrieval.
SpecialistRelevance engine combining vector search with behavioral machine learning models, optimized for recommendation systems rather than raw retrieval.