KDB (Knowledgebase)
Flexible Storage for RAG and Intellectual Analysis
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Flexible Storage for RAG and Intellectual Analysis
Last updated
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KnowledgeBase Service (KDB) — is a service that allows you to create your own attachable storage for many integrations using RAG technique.
Individual Parsing Strategy with AIL/AAC: You can define different models for each filetype or specific file to improve data quality.
Unlimited DBs Number: You can create an individual DB for each your customer or product to use it in specific cases.
Multiple Attach: You can attach multiple KDBs to each request (depending on model limits) to get more accurate responses.
Semantic Search: You can search across your data empower your engine with AI.
File: You can define different models for each filetype or specific file to improve data quality.
Source: You can create an individual DB for each your customer or product to use it in specific cases.
Record: You can attach multiple KDBs to each request (depending on model limits) to get more accurate responses.
Embeddings: You can search across your data.
Injection prompt is a prompt that uses to wrap or attach a context from KDB to your actual request.
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