<!channel> 🚀 We’re super excited to announce the General Availability of the latest version of Typesense

v0.25.0

today! 🎉 🎊 Here are some key highlights: ⭐️ Semantic Search: Search for conceptually related terms in your dataset, even if the exact keyword does not exist in your dataset. Demo | Docs ⭐️ Hybrid Search: Combine both keyword and semantic / vector search results in a single query using rank fusion. Demo | Docs ⭐️ Automatic Embedding Generation: specify one or more string fields that should be used for generating embeddings during indexing & during search using state-of-the-art embedding models, optionally using a GPU. Example | Docs ⭐️ Integration with OpenAI API, PaLM API and Vertex AI API: Have Typesense automatically make API calls to remote embedding services like OpenAI / Google, to generate vectors for the JSON data you index in Typesense. Example | Docs ⭐️ Query Analytics: Typesense now supports aggregation of popular search queries which can then be used as insights into query patterns. Docs ⭐️ Query Suggestions: You can use historical search terms to collected by the Query Analytics feature, to power Query Suggestions. Docs ⭐️ Update Documents by Query: You can now update all documents that match a

filter_by

condition. Docs Read the full changelog here and instructions on how to upgrade here. A big thank you to everyone who contributed code, ideas, bug reports and feedback, especially with early RC builds of the of 0.25.0 🙏🙏 📣 Other Announcements: ⭐️ If you use LangChain or LlamaIndex, we now have integrations with these frameworks so you can easily integrate Typesense as a vector store with chat LLMs like ChatGPT to get it to respond with information from your data indexed in Typesense. ⭐ You can now create clusters with GPUs on Typesense Cloud (starting from 8GB RAM, 4vCPU). This is useful to speed up automatic embedding generation for semantic / hybrid search use-cases. 📈 Some Stats: ⭐️ We now serve 1.3 BILLION searches per month in Typesense Cloud. ⭐️ We’ve reached 7M Docker downloads. ⭐️ We’ve reached 14K GitHub stars.