Integrations overview

Universal Pinecone skills library for GitHub Copilot and other agentic IDEs.

Official Pinecone plugin for Claude Code with skills, MCP tools, and slash commands.

Official Pinecone plugin for Codex with skills and MCP tools.

Official Pinecone plugin for Cursor with skills, MCP tools, and slash commands.

Integrate, transform, and load data into Pinecone from hundreds of systems, including databases, data warehouses, and SaaS products.

Integrate results from web scrapers or crawlers into Pinecone to support RAG or semantic search over web content.

Process complex, unstructured documents with an ETL system built for RAG and generative AI applications.

Connect a Box account to Pinecone Database.

Stream content from Confluent Cloud into a Pinecone index with the Pinecone Sink Connector for Kafka Connect.

Combine the Databricks analytics platform with Pinecone for large-scale data processing.

Move data from hundreds of systems into Pinecone and keep it up to date.

Build, deploy, and manage workflows with a low-code platform for AI-assisted ML and LLM transformations.

Build customized LLM apps with an open-source, low-code tool for orchestration flows and AI agents.

Build and operationalize data and AI-driven solutions at scale.

Create and maintain data pipelines, build custom connectors for any source, and choose between AI and high-code options.

Ingest data from 500+ connectors with Nexla’s low-code and no-code AI integration platform.

Connect existing data sources to Pinecone with a Kafka-compatible streaming data platform built for data-intensive applications.

Upsert, query, and delete vectors in a Pinecone index from Openflow data pipelines.

Stream data into Pinecone with StreamNative’s messaging and event streaming platform.

Load data into Pinecone with a single click.

Create chatbots, generate content, build AI forms, and automate tasks from your WordPress dashboard.

Integrate your enterprise data into Amazon Bedrock, using Pinecone to build GenAI applications.

Integrate machine learning models with a fully managed service for deployment and scaling.

Build vector embedding, RAG, and semantic search applications at scale with Cloudera AI.

Create end-to-end data flows that connect data sources to Pinecone.

Build AI-powered applications and agents with Genkit.

Implement an end-to-end search pipeline for efficient retrieval and question answering over large datasets.

Build AI applications with a low-code, full-stack tool for data, model, and pipeline orchestration.

Build LLM applications with LangChain, using Pinecone as the vector store.

Index and retrieve your data with LlamaIndex and Pinecone for semantic search and RAG applications.

Build AI workflows with the Pinecone Assistant or Vector Store node, for managed RAG or full control over your pipeline.

Store the index for a knowledge box in Pinecone with this RAG-as-a-Service platform, formerly Nuclia.

Build AI agents with retrieval-augmented generation (RAG) in VoltAgent, a TypeScript framework.

Access Pinecone through its AWS Marketplace listing.

Access Pinecone through its Google Cloud Marketplace listing.

Access Pinecone through its Microsoft Marketplace listing.

Manage your Pinecone collections and indexes as code in any language that Pulumi supports.

Manage Pinecone resources with Terraform configuration files for a consistent workflow.

Use Pinecone as the long-term memory for your Vercel AI projects, and scale to billions of data points.

Connect Pinecone to thousands of apps with Zapier to automate your work without code.

Generate text embeddings with Cohere and store them in Pinecone for semantic search.

Generate embeddings with Voyage AI models for semantic search and RAG.

Deploy machine learning models on Hugging Face Inference Endpoints and use them to create embeddings for Pinecone.

Generate text embeddings with Jina AI models, fine-tuned for domain- and language-specific use cases.

Use OpenAI models to generate embeddings and responses, and store the embeddings in Pinecone.

Create multimodal embeddings from video with Twelve Labs and store them in Pinecone.

Monitor your Pinecone usage and performance with Datadog dashboards and alerts.

Visualize execution traces and spans from your Pinecone calls.

Monitor your Pinecone application with New Relic for performance analysis.

Produce traces and metrics that can be viewed in any OpenTelemetry-based platform.

Evaluate and track RAG applications built on Pinecone with TruLens.