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(Update) Vercel AI SDK Memory Saving Algo (#2082)

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This commit is contained in:
Saket Aryan
2024-12-15 11:14:16 +05:30
committed by GitHub
parent 400b1f4eac
commit 763f804277
7 changed files with 78 additions and 16 deletions
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10
docs/integrations/vercel-ai-sdk.mdx
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@@ -64,10 +64,13 @@ npm install @mem0/vercel-ai-provider
### Standalone Features:
```typescript
await addMemories(messages, { user_id: "borat", mem0ApiKey: "m0-xxx" });
await retrieveMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx" });
await addMemories(messages, { user_id: "borat", mem0ApiKey: "m0-xxx", org_id: "org_xx", project_id: "proj_xx" });
await retrieveMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx", org_id: "org_xx", project_id: "proj_xx" });
await getMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx", org_id: "org_xx", project_id: "proj_xx" });
```
> **Note**: For standalone features, such as `addMemories` and `retrieveMemories`, you must either set `MEM0_API_KEY` as an environment variable or pass it directly in the function call.
> For standalone features, such as `addMemories`, `retrieveMemories`, and `getMemories`, you must either set `MEM0_API_KEY` as an environment variable or pass it directly in the function call.
> `getMemories` will return raw memories in the form of an array of objects, while `retrieveMemories` will return a response in string format with a system prompt ingested with the retrieved memories.
### 1. Basic Text Generation with Memory Context
@@ -146,6 +149,7 @@ npm install @mem0/vercel-ai-provider
- `createMem0()`: Initializes a new Mem0 provider instance.
- `retrieveMemories()`: Retrieves memory context for prompts.
- `getMemories()`: Get memories from your profile in array format.
- `addMemories()`: Adds user memories to enhance contextual responses.
## Best Practices