AWS Bedrock Integration and spell checks (#3124)

This commit is contained in:
Antaripa Saha
2025-07-08 22:46:44 +05:30
committed by GitHub
parent ec9b0688d8
commit de0513fc9f
11 changed files with 162 additions and 29 deletions

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@@ -14,7 +14,7 @@ iconType: "solid"
When an AI agent or LLM needs to access memories, it employs the `search` method. Mem0 conducts a comprehensive search across these data stores, retrieving relevant information from each.
The retrieved memories can be seamlessly integrated into the LLM's prompt as required, enhancing the personalization and relevance of responses.
The retrieved memories can be seamlessly integrated into the system prompt as required, enhancing the personalization and relevance of responses.
</Accordion>
<Accordion title="What are the key features of Mem0?">
@@ -23,7 +23,7 @@ iconType: "solid"
- **Developer-Friendly API**: Offers a straightforward API for seamless integration into various applications.
- **Platform Consistency**: Ensures consistent behavior and data across different platforms and devices.
- **Managed Service**: Provides a hosted solution for easy deployment and maintenance.
- **Save Costs**: Saves costs by adding relevent memories instead of complete transcripts to context window
- **Save Costs**: Saves costs by adding relevant memories instead of complete transcripts to context window
</Accordion>
<Accordion title="How Mem0 is different from traditional RAG?">