Trieve
by devflowinc
Trieve is an all-in-one solution for search, recommendations, and RAG. It offers features like semantic vector search, typo-tolerant full-text search, and convenient RAG API routes.
Last updated: N/A
What is Trieve?
Trieve is a comprehensive platform that combines search, recommendation, and Retrieval-Augmented Generation (RAG) capabilities. It provides tools for semantic vector search, full-text search, and integration with various LLMs.
How to use Trieve?
Trieve can be used through its API, SDKs (Typescript and Python), or by self-hosting the platform. The documentation provides detailed instructions on setting up and using the various features, including API references and guides for local development.
Key features of Trieve
Self-Hosting in your VPC or on-prem
Semantic Dense Vector Search
Typo Tolerant Full-Text/Neural Search
Sub-Sentence Highlighting
Recommendations
Convenient RAG API Routes
Bring Your Own Models
Hybrid Search with cross-encoder re-ranking
Recency Biasing
Tunable Merchandizing
Filtering
Grouping
Use cases of Trieve
Building search functionality for websites and applications
Creating recommendation systems based on content similarity
Implementing RAG pipelines for question answering and content generation
Developing internal knowledge bases with advanced search capabilities
FAQ from Trieve
Are we missing a feature that your use case would need?
Are we missing a feature that your use case would need?
Call us at 628-222-4090, make a Github issue, or join the Matrix community and tell us! We are a small company who is still very hands-on and eager to build what you need; professional services are available.
How do I get started with local development?
How do I get started with local development?
Follow the instructions in the README for installing the necessary packages, setting up environment variables, and starting the services.
Where can I find the API documentation?
Where can I find the API documentation?
The API reference and documentation are available at https://docs.trieve.ai/api-reference.
How can I test cross encoder reranking models?
How can I test cross encoder reranking models?
Follow the additional instructions for testing cross encoder reranking models in the README.
How can I get help with debugging issues?
How can I get help with debugging issues?
Reach out to us on discord for assistance. We are available and more than happy to assist.