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Perform low-latency vector search to retrieve relevant data for search, RAG, recommendation, detection, and other applications. Combine vector search with familiar metadata filters to get just the results you want. Fast and accurate vector search over all your data.
May 3, 2023 · What is a Vector Database? A vector database indexes and stores vector embeddings for fast retrieval and similarity search, with capabilities like CRUD operations, metadata filtering, horizontal scaling, and serverless.
A vector embedding is a numerical representation of data that enables similarity-based search in vector databases like Pinecone. To convert data into this format, you use an embedding model. For this quickstart, use the multilingual-e5-large embedding model hosted by Pinecone to create vector embeddings for sentences related to the word ...
Pinecone is the leading AI infrastructure for building accurate, secure, and scalable AI applications. Use Pinecone Database to store and search vector data at scale, or start with Pinecone Assistant to get a RAG application running in minutes.
Sep 5, 2024 · In this article, we will explore how to transform PDF files into vector embeddings and store them in Pinecone using LangChain, a robust framework for building LLM-powered applications.
Jun 28, 2024 · Pinecone is a widely recognized vector database in the industry, known for addressing challenges such as complexity and dimensionality. As a cloud-native and managed vector database, Pinecone offers vector search (or “similarity search”) for developers through a straightforward API.
Aug 9, 2023 · Dive into the world of vector databases with our in-depth tutorial on Pinecone. Discover how to efficiently handle high-dimensional data, understand unstructured data, and harness the power of vector embeddings for AI-driven applications.
Sep 19, 2023 · Unlike traditional relational databases that store data in rows and columns, a vector database like Pinecone stores data as vectors or arrays of numbers. This allows the database to understand...
The vector database for machine learning applications. Build vector-based personalization, ranking, and search systems that are accurate, fast, and scalable. - Pinecone
Pinecone is a vector database designed for storing and querying high-dimensional vectors. It provides fast, efficient semantic search over these vector embeddings. By integrating OpenAI’s LLMs with Pinecone, we combine deep learning capabilities for embedding generation with efficient vector storage and retrieval.
