Pinecone
Vector DB for RAG and neural search over embeddings.
Pinecone is a managed vector database purpose-built for RAG and neural search. It indexes embedding vectors for fast retrieval and supports metadata filtering, namespaces, and hybrid search.
I use Pinecone as the vector store in RAG pipelines - the layer between your embeddings and your LLM that retrieves the most relevant context for each query. It's reliable, fast, and the API is clean enough to integrate in a few lines of code.
For Barnsley businesses building AI search or Q&A systems over their documents, Pinecone provides the retrieval backbone. You embed your documents, store them in Pinecone, and query it to find the most relevant content to feed into your LLM for accurate, grounded answers.
How I use Pinecone for Barnsley businesses
For search, it indexes vectors for fast retrieval in RAG pipelines.
Related integrations
LlamaIndex
AI data framework for RAG, retrieval, and semantic search.
Marqo
AI search API with built-in embedding and hybrid retrieval.
Qdrant
Vector database for similarity search and filtering.
Weaviate
Vector database with hybrid search and built-in embeddings.
Zilliz
Vector database for AI-powered semantic search at scale.
Want to discuss AI for your business?
I help businesses across South Yorkshire and beyond integrate AI into their workflows. Get in touch to talk through your specific situation.