Trieve
Infrastructure for building AI search into your applications
Description:
Trieve is an AI search infrastructure that combines powerful language models with tools for human fine tuning. It offers a range of features such as dense vector semantic search, sparse vector full-text search, cross encoder re-ranker models, RAG endpoints, relevance weighting, and more. Trieve is production-ready and can be used to build AI search into applications. It provides a competitive advantage by incorporating AI powered search and RAG, and ensures data privacy by using open source embedding models and LLMs ran in its own servers.
For Tasks:
For Jobs:
Features
- Dense vector semantic search
- Sparse vector full-text search
- Cross encoder re-ranker models
- RAG endpoints
- Relevance weighting
- Private Managed Embedding models
- SPLADE full-text neural search
- Hybrid Search
- Merchandising Relevance tuning
- Date Recency Biasing
Advantages
- Combines powerful language models with tools for human fine tuning
- Provides a range of features for AI search
- Production-ready and easy to use
- Offers a competitive advantage by incorporating AI powered search and RAG
- Ensures data privacy by using open source embedding models and LLMs ran in its own servers
Disadvantages
- May require technical expertise to implement
- Pricing may not be suitable for all users
- May not be suitable for all types of search applications
Frequently Asked Questions
-
Q:What is Trieve?
A:Trieve is an AI search infrastructure that combines powerful language models with tools for human fine tuning. -
Q:What are the benefits of using Trieve?
A:Trieve offers a range of benefits, including improved search quality, increased user engagement, and reduced development time. -
Q:How do I get started with Trieve?
A:You can get started with Trieve by signing up for a free account. -
Q:How much does Trieve cost?
A:Trieve offers a range of pricing plans to suit different needs. -
Q:What kind of support does Trieve offer?
A:Trieve offers a range of support options, including documentation, tutorials, and a community forum.
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