Chroma vs Typesense

Chroma is open-source infrastructure for storing embeddings and metadata, then searching and retrieving information across text, images, and other modalities. Search options include dense, sparse, and hybrid vector search, plus full-text and regex search and metadata filtering. It can run locally through pip, npm, or Docker, on Chroma Cloud, or in a customer’s own VPC. The maker says its Apache 2.0-licensed codebase powers both the open-source database and Chroma Cloud. Documented integrations include embedding providers such as OpenAI, Cohere, Google Gemini, Hugging Face, Jina AI, and Ollama, and frameworks such as LangChain, LlamaIndex, Haystack, Streamlit, and DeepEval. Cloud security features include encryption in transit and at rest, SSO, role-based access control, and employee MFA; Chroma Cloud has completed a SOC 2 Type II examination. Starter is free, with 10 databases and 10 team members. Team is $250 a month plus usage and includes $100 credits, 100 databases, and 30 team members.

Typesense is an open-source search engine for adding search to a website or app using data you supply; it does not crawl the web. It is designed for typo-tolerant, search-as-you-type results, typically in under 50 milliseconds. Search tools include tunable ranking, sorting, faceting, filtering, grouping, federated search and geo search. Listed AI capabilities include vector and hybrid search, built-in RAG, natural-language, image and voice search.

You can run it locally or on a server, or use hosted Typesense Cloud. Its REST API has listed integrations including Firebase, AWS Amplify, Laravel Scout, LangChain, LlamaIndex, InstantSearch, OpenAI and Google ML platforms. Typesense offers a free plan; Cloud clusters start at $22 a month. Cloud billing includes cluster runtime and bandwidth, and the hourly cluster fee continues while a cluster runs without traffic. The one-time free Cloud tier applies to select configurations and does not renew monthly.