Pinecone (Native)
Pinecone Native connector provides direct integration with Pinecone's vector database service, offering optimized performance for similarity search, vector storage, and retrieval operations in machine learning and AI applications.
Power AI-ready data operations with Pinecone (Native) and Nexla. Our Pinecone (Native) connector makes it simple to ingest, transform, chunk, and deliver structured or unstructured data to Pinecone (Native) — all without coding. Nexla automatically organizes raw text and documents into reusable data products that you can easily prepare for vector search and retrieval-augmented generation (RAG) using our built-in transforms like agentic chunking and incremental loading. With real-time validation, schema checks, and comprehensive monitoring, Nexla keeps your Pinecone (Native) workflows fast, secure, and fully governed for production AI use cases.
Features
Type: Vector Database
- AI-Ready Data Preparation: Automatically chunk, vectorize, and index data from any source into your vector database for fast, contextually relevant search
- Advanced RAG Integration: Query vector databases to power retrieval-augmented generation workflows with query rewriting, re-ranking, and multi-model orchestration
- Enterprise RAG Framework: Build production-ready RAG applications with built-in access controls, evaluation grading, and NVIDIA NIM hardware acceleration