Trieve is the best GenAI platform for creating, managing, and searching embeddings then using them via Retrieval-Augmented Generation (RAG) or your method of choice.
Build semantic search and RAG fast.
We have deployed Trieve for production datasets of the Enron email corpus and for YCombinator companies.
If you are interested in a managed instance and/or SLA, reach out to us by emailing firstname.lastname@example.org.
Learn how to quickly get started with Trieve.
Learn how to self-host Trieve on your own infrastructure.
Learn about the different environment variables used by Trieve.
Use Custom LLM or Embedding Model
Learn how to use custom embedding models and LLMs with Trieve.
Learn about how to authenticate with the Trieve API and how to use the access cookie and API key to make requests.
Learn about the chunk model and how to create, retrieve, update, delete, and query chunks.
Learn about the collection model and how to create, retrieve, update, delete, and list collections.
Learn about the user model and how to create, retrieve, update, and delete users and their associated info.
Learn about the file model and how to upload, retrieve, update, delete, and list files.