From Chroma
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October 30, 2025
Chroma Web Sync
Chroma Cloud can now automatically crawl and index websites. Users supply a starting URL and Chroma handles scraping, converting pages to markdown, chunking via Tree-sitter, and generating embeddings — no custom ingestion pipeline required. The resulting collections support hybrid search blending dense embeddings for semantic matching with BM25 sparse vectors for keyword precision. Designed for product docs, blogs, and support pages.
Nov 4, 2025
How Factory powers code search with Chroma Cloud
Factory AI uses Chroma Cloud to power semantic and full-text code search for its AI software development agents (Droids). Chroma enables semantic similarity search, regex/full-text search, and collection forking to incrementally index git diffs without full re-ingestion. Serverless scalability handles unpredictable parallel workloads across many concurrent Droid instances. Factory's Droids hold the #1 score on Terminal-Bench, resolving 58.8% of tasks.
Oct 7, 2025
Launching regex search support
Chroma now supports regular expression filtering via $regex and $not_regex operators in the where_document field, allowing users to search and filter collection documents by pattern — such as finding function definitions, email addresses, or URLs. Available through the Python API and the Chroma Cloud UI.
Jun 24, 2025
Pinecone drops $100M investment on $750M valuation, as vector database demand grows
When Pinecone launched a vector database aimed at data scientists in 2021, it was probably ahead of its time. But as the use cases began to take shape last year, the company began pushing AI-driven semantic search. With the rise of LLMs in the public consciousness, companies are beginning to see the value of vector […]
Apr 27, 2023