PAI @pineconeai_sol

PAI is the leading vector database for building accurate and performant AI applications at scale in production. pineconeai.fun Joined May 2024

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PAI @pineconeai_sol

4 months ago

PineconeAI is powering the future of agentic AI. 🚀 🔧 Agent-optimized retrieval 💾 Backup & restore 🔐 Admin APIs 📜 Audit logs 🌒 Dark mode

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We are launching our first remote MCP server to bring knowledge into Agentic workflows. We are also launching two local servers. Bring structured context into your agent and dev workflows: ✅ Verified retrieval for agents ✅ In-IDE vector search ✅ Local dev + index prototyping

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PAI @pineconeai_sol

4 months ago

MCP is everywhere right now, and PineconeAI has been ahead of the curve. 🚀 We've built three MCP servers...starting early and experimenting with workflows like AI tools referencing docs to improve code.

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PAI @pineconeai_sol

4 months ago

How do you secure agentic AI workflows needing real-time, sensitive data access? Annapurna + Pinecone = RBAC-secured, scalable AI infrastructure. Automated pipelines, millisecond-latency vector search & strict compliance.

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PAI @pineconeai_sol

4 months ago

Test out our updated RAG chatbot example using the integration.

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PAI @pineconeai_sol

4 months ago

PAI Assistant works with the @OpenAI-compatible /v1/chat/completions API. If you're building chat apps with RAG, you can use the same interface, grounded in your data.

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PAI @pineconeai_sol

4 months ago

🔀 Reranking improves generation accuracy by using a model to score the relevance of each document to a given query, ensuring that LLMs only use the most pertinent data.