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Trieve is an all-in-one solution for search, recommendations, and RAG, offering semantic vector search, full-text/neural search, and convenient RAG API routes.
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Trieve is an all-in-one solution for search, recommendations, and RAG, offering semantic vector search, full-text/neural search, and convenient RAG API routes.
Trieve offers a balance between functionality and security. Self-hosting and BYOM provide more control, but integration with external services and write capabilities introduce risks. Proper configuration and key management are crucial for safe operation.
Performance depends on the size of the dataset, the complexity of the queries, and the chosen embedding models. Consider using GPU acceleration for embedding and re-ranking to improve performance.
Cost depends on the usage of external services like OpenAI and OpenRouter, the resources used for self-hosting, and the chosen pricing plans. Monitor API usage and resource consumption to optimize costs.
npx -y @smithery/cli install trieve-mcp-server --client claudeOPENAI_API_KEYSTRIPE_WEBHOOK_SECRETsearchSearches for chunks of data within Trieve.
Read-only operation, no data modification.
create_message_completion_handlerCreates a message completion using RAG with topic-based memory management.
Involves writing data and interacting with LLMs.
generate_off_chunksGenerates content off existing chunks using RAG.
Involves writing data and interacting with LLMs.
update_dataset_settingsUpdates the settings of a dataset.
Modifies the structure and behavior of a dataset.
delete_chunkDeletes a chunk of data.
Destructive operation that permanently removes data.
API Key
Trieve offers a balance between functionality and security. Self-hosting and BYOM provide more control, but integration with external services and write capabilities introduce risks. Proper configuration and key management are crucial for safe operation.
Autonomy depends on the configuration and the specific tools used. It's crucial to carefully manage permissions and monitor the actions performed by the system.
Production Tip
Implement robust error handling, monitoring, and alerting to ensure the stability and reliability of the system in production.
Trieve integrates with OpenAI and Jina embedding models. You can also bring your own text-embedding model.
Yes, Trieve integrates with OpenRouter to provide access to any LLM you would like for RAG.
Trieve is not fully open source, but it offers self-hosting options and allows you to bring your own models.
Trieve provides self-hosting guides for AWS, GCP, Kubernetes, and Docker Compose on its documentation page.
Trieve supports date-range, substring match, tag, numeric, and other filter types.
Recency biasing allows you to easily bias search results for what was most recent to prevent staleness.
Hybrid search combines semantic and full-text search, and cross-encoder re-ranking optimizes the results for better relevance.