Typesense

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences.

Features

• Typo Tolerance: Handles typographical errors elegantly, out-of-the-box.
• Simple and Delightful: Simple to set-up, integrate with, operate and scale.
• ⚡ Blazing Fast: Built in C++. Meticulously architected from the ground-up for low-latency (<50ms) instant searches.
• Tunable Ranking: Easy to tailor your search results to perfection.
• Sorting: Dynamically sort results based on a particular field at query time (helpful for features like "Sort by Price (asc)").
• Faceting & Filtering: Drill down and refine results.
• Grouping & Distinct: Group similar results together to show more variety.
• Federated Search: Search across multiple collections (indices) in a single HTTP request.
• Geo Search: Search and sort by results around a latitude/longitude or within a bounding box.
• Vector Search: Index embeddings from your machine learning models in Typesense and do a nearest-neighbor search. Can be used to build similarity search, semantic search, visual search, recommendations, etc.
• Semantic / Hybrid Search: Automatically generate embeddings from within Typesense using built-in models like S-BERT, E-5, etc or use OpenAI, PaLM API, etc, for both queries and indexed data. This allows you to send JSON data into Typesense and build an out-of-the-box semantic search + keyword search experience.
• Conversational Search (Built-in RAG): Send questions to Typesense and have the response be a fully-formed sentence, based on the data you've indexed in Typesense. Think ChatGPT, but over your own data.
• Image Search: Search through images using text descriptions of their contents, or perform similarity searches, using the CLIP model.
• Voice Search: Capture and send query via voice recordings - Typesense will transcribe (via Whisper model) and provide search results.
• Scoped API Keys: Generate API keys that only allow access to certain records, for multi-tenant applications.
• JOINs: Connect one or more collections via common reference fields and join them during query time. This allows you to model SQL-like relationships elegantly.
• Synonyms: Define words as equivalents of each other, so searching for a word will also return results for the synonyms defined.
• Curation & Merchandizing: Boost particular records to a fixed position in the search results, to feature them.
• Raft-based Clustering: Setup a distributed cluster that is highly available.
• Seamless Version Upgrades: As new versions of Typesense come out, upgrading is as simple as swapping out the binary and restarting Typesense.
• No Runtime Dependencies: Typesense is a single binary that you can run locally or in production with a single command.