Pinecone (@pinecone) on X (original) (raw)

Pinecone is the knowledge infrastructure for AI at scale.

• Pinned
  
  Introducing Pinecone Nexus. A knowledge engine for agents. The bottleneck for production agents isn't the model. It's the per-query work of searching, stitching, parsing tables, normalizing labels. Nexus compiles that work ahead of time into typed, governed artifacts. Agents
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  Let's talk chunking—An essential technique that helps optimize the relevance of the content we get back from a vector database once we use the LLM to embed content:
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  Introducing Pinecone serverless, a completely reinvented vector database that lets you easily build fast and accurate GenAI applications at up to 50x lower cost. Available today in public preview, free to try with $100 in usage credits.pinecone.io/blog/serverles…
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  Exciting news! 🎉 Pinecone has raised 100MinSeriesBfundingata100M in Series B funding at a 100MinSeriesBfundingata750M valuation, led by
  @a16z
  , with participation from
  @ICONIQGrowth
  ,
  @MenloVentures
  , and
  @Wing_VC
  . We're on a mission to provide long-term memory for AI. (1/7)
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  Facebook AI Similarity Search (Faiss): The Missing Manual 📘🕵️‍♀️
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  Large Language Models have entered the room. It's time to get started with LLMs using LangChain. hubs.ly/Q01zfx8N0
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  ✨ Introducing our free course on Natural Language Processing (NLP) for Semantic Search! 🧐 Covers everything you need to build state-of-the-art language models, from machine translation to question-answering, and more. 👉 Start here:
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  Build a hallucination-free chatbot for any website... In two clicks. Using
  @vercel
  AI SDK +
  @pinecone
  . Here's the starter template:
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  Learn how to build a multi-user chatbot with Langchain and Pinecone in Next.JS. hubs.ly/Q01Kzg0m0
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  Pinecone giveaway! 🎁 We're giving away top-quality Marine Layer hoodies to 3 people who: 1. Follow
  @pinecone
  AND 2. Retweet this tweet Winners will be announced on June 2nd!
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  Replying to @OpenAI
  The biggest deal about this is the ability to create your own plugins. The Retrieval Plugin is a kind of starter kit, with built-in integrations to the Pinecone vector database:
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  Data Prep 101 with
  @jamescalam
  : Learn how to prepare text using
  @langchain
  data loaders, tokenization using the tiktoken tokenizers, chunking with LangChain text splitters, and storing data with
  @huggingface
  datasets.
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  🚀🤖 Hold on to your hats, folks!
  @OpenAI
  's ChatGPT plugins are REVOLUTIONIZING the AI landscape, and Pinecone is your express ticket 🎟️ to harnessing their power in production! 🌐 Ready for lift-off? 🌟 Let's dive in and explore this game-changing combo! 🔥🔗 #AI #NextLevelTech