{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Integrates Pinecone vector database with LlamaIndex for storing and retrieving embeddings in RAG and semantic search applications.","skillfed_tags":["vector-database","rag","llm-integration"],"use_cases":["Build a RAG pipeline where documents are embedded and stored in Pinecone, then retrieved by semantic similarity to answer user queries.","Implement semantic search over a large corpus by storing embeddings in Pinecone and querying through LlamaIndex.","Swap Pinecone for another vector store in an existing LlamaIndex application by changing only the vector store initialization.","Integrate Pinecone into a multi-step LLM workflow where context retrieval is one stage in a larger chain."],"what_it_does":"This package is a bridge between LlamaIndex and Pinecone, enabling you to use Pinecone as the vector storage backend for retrieval-augmented generation (RAG) and semantic search workflows. It abstracts Pinecone's API behind LlamaIndex's standard vector store interface, so you can swap vector databases without rewriting your application logic.\n\nThe package handles the low-level details of connecting to Pinecone, storing embeddings, and retrieving similar vectors based on semantic similarity. It's designed for developers building LLM applications who want to leverage Pinecone's managed vector database without writing custom integration code. Python 3.10 or later is required.","worth_installing":"Yes, if you are already using LlamaIndex and want to use Pinecone as your vector store. The package has low install friction, active maintenance, MIT licensing, and no known vulnerabilities. It is a straightforward integration layer with no hidden complexity\u2014install it only if Pinecone is your chosen vector database."},"id":"llama-index-vector-stores-pinecone","links":{"html":"https://skillfed.io/packages/llama-index-vector-stores-pinecone","md":"https://skillfed.io/packages/llama-index-vector-stores-pinecone.md","pypi":"https://pypi.org/project/llama-index-vector-stores-pinecone/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-vector-stores-pinecone","python_support":"supports_current","summary":"llama-index vector_stores pinecone integration"},"popularity":{"monthly_downloads":194439,"position":9833,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.8.1"}