What kind of data can I ingest into Trieve?

Trieve can ingest various data types, including text, PDFs, documents, and web pages.

How does Trieve ensure the accuracy of generated responses?

It uses Retrieval Augmented Generation (RAG) to ground LLM responses in your specific data, with citations.

Is Trieve suitable for real-time applications?

Yes, Trieve is built for performance and low latency, making it suitable for real-time search and conversational AI.

Does Trieve offer client libraries or SDKs?

Yes, Trieve provides SDKs for popular programming languages to simplify integration.

Trieve

Trieve provides AI-powered search infrastructure for developers, offering a robust RAG (Retrieval Augmented Generation) API to build intelligent search and chatbot experiences. It simplifies adding advanced search capabilities to applications.

Price: Freemium

Categories:AI Agents AI Assistants AI Chatbots AI Coding Assistants AI Content Generators

Visit Tool

Description

Trieve is designed for developers who need to integrate powerful, context-aware search into their applications without building complex AI models from scratch. It offers a RAG-as-a-service platform, allowing users to upload their data, and then Trieve's API handles the indexing, retrieval, and augmentation for generating highly relevant and factual responses. This tool is ideal for startups, enterprises, and developers building knowledge bases, customer support chatbots, internal search tools, or any application requiring accurate information retrieval from custom data. Trieve stands out by providing a developer-first approach to RAG, offering flexible APIs, SDKs, and a focus on performance and scalability, making advanced AI search accessible and manageable.

How to Use

1.Sign up for a Trieve account and obtain your API key.

2.Use Trieve's SDKs or API to ingest your data (documents, text, web pages) into your Trieve dataset.

3.Send natural language queries to the Trieve API.

4.Trieve processes the query, retrieves relevant chunks from your data, and augments a language model to generate a precise answer.

5.Integrate the results into your application's user interface.

Use Cases

Building intelligent chatbotsInternal knowledge basesCustomer support agentsSemantic searchDocument retrievalQuestion answering systemsContent moderationAI-powered assistants

Pros & Cons

Pros

Simplifies building AI-powered search and RAG applications for developers.
Provides highly accurate and contextually relevant results from custom data.
Offers flexible APIs and SDKs for easy integration.
Reduces development time and complexity for advanced search features.
Ensures factual responses by grounding LLMs in verifiable sources.

Cons

Requires developer knowledge to integrate and utilize the API effectively.
The quality of search results is dependent on the quality and organization of ingested data.
Costs can scale with data volume and query frequency for high-usage applications.

Pricing

https://trieve.ai/pricing

FAQs