Full-Text Search is Now Generally Available In Pinecone Database
Pinecone Full-Text Search is generally available with BM25 keyword ranking and text-match filters in the same index and schema as dense vectors.
Pinecone Full-Text Search is generally available with BM25 keyword ranking and text-match filters in the same index and schema as dense vectors.
Pinecone Dedicated Read Nodes add per-query performance controls, metrics exporting, a web console experience, and early access to multi-namespace support.
Pinecone Dedicated Read Nodes are now generally available for revenue-critical retrieval workloads that need predictable performance, throughput, and cost at sustained scale.
Pinecone BYOC lets enterprise teams run Pinecone's data plane in their own cloud account with a zero-access operating model.
Pinecone Dedicated Read Nodes, now in Public Preview, delivers predictable cost and low-latency for billion-vector semantic search and high-QPS recommendation workloads.
Pinecone adds update, delete, and fetch-by-metadata operations so teams can manage vector records at scale without first collecting IDs.
Earthly introduces UI updates for its Cloud platform, enhancing the Home Dashboard and Build Details screen with new features like build timings, graphs, and detailed logs. These improvements aim to provide users with better insights and a more efficient build experience.
Introducing Earthly Functions: Reusable code blocks can enhance modularity and consistency in your Earthfiles.
Introducing Earthly docker-build: a new feature that enables Dockerfile-based builds with Earthly and speeds them up by giving you a persistent BuildKit cache that can be used with any CI.
Introducing Auto-Skip: a new feature of Earthly Cloud that speeds up builds by smartly skipping entire build targets when appropriate, making builds run even faster.