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doc: Broken links fixed in docs (#3034)

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This commit is contained in:
Antaripa Saha
2025-06-25 17:18:29 +05:30
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parent aaf879322c
commit a98842422b
14 changed files with 42 additions and 45 deletions
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13
docs/platform/features/advanced-retrieval.mdx
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@@ -16,8 +16,6 @@ You can enable any of the following modes independently or together:
Each enhancement can be toggled independently via the `search()` API call. These flags are off by default. These are useful when building agents that require fine-grained retrieval control
---
## Keyword Search
Keyword search expands the result set by including memories that contain lexically similar terms and important keywords from the query, even if they're not semantically similar.
@@ -53,7 +51,7 @@ results = client.search(
- May slightly reduce precision
- Adds ~10ms latency
---
## Reranking
@@ -91,7 +89,7 @@ results = client.search(
- Adds ~150–200ms latency
- Higher computational cost
---
## Filtering
@@ -129,7 +127,7 @@ results = client.search(
- Adds ~200-300ms latency
- Best for focused, specific queries
---
## Combining Modes
@@ -148,7 +146,7 @@ results = client.search(
This configuration broadens the candidate pool with keywords, improves ordering via rerank, and finally cuts noise with filtering.
<Note> Combining all modes may add up to ~450ms latency per query. </Note>
---
## Performance Benchmarks
@@ -158,7 +156,7 @@ This configuration broadens the candidate pool with keywords, improves ordering
| `rerank` | 150–200ms |
| `filter_memories`| 200–300ms |
---
## Best Practices & Limitations
@@ -171,6 +169,7 @@ This configuration broadens the candidate pool with keywords, improves ordering
<Note> You can enable or disable these search modes by passing the respective parameters to the `search` method. There is no required sequence for these modes, and any combination can be used based on your needs. </Note>
---
If you have any questions, please feel free to reach out to us using one of the following methods:
<Snippet file="get-help.mdx" />

12
docs/platform/features/criteria-retrieval.mdx
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@@ -19,7 +19,7 @@ You define **criteria** - custom attributes like "joy", "negativity", "confidenc
This gives you nuanced, intent-aware memory search that adapts to your use case.
---
## When to Use Criteria Retrieval
@@ -29,7 +29,7 @@ Use Criteria Retrieval if:
- You want to guide memory selection based on **context**, not just content
- You have domain-specific signals like "risk", "positivity", "confidence", etc. that shape recall
---
## Setting Up Criteria Retrieval
@@ -156,7 +156,7 @@ results_without_criteria = client.search(
2. **Score Distribution**: With criteria, scores are more spread out (0.116 to 0.666) and reflect the criteria weights, while without criteria, scores are more clustered (0.336 to 0.607) and based purely on relevance.
3. **Trait Sensitivity**: “Rainy day” content is penalized due to negative tone. “Storm curiosity” is recognized and scored accordingly.
---
## Key Differences vs. Standard Search
@@ -172,7 +172,7 @@ results_without_criteria = client.search(
If no criteria are defined for a project, `version="v2"` behaves like normal search.
</Note>
---
## Best Practices
@@ -182,7 +182,7 @@ If no criteria are defined for a project, `version="v2"` behaves like normal sea
- Avoid redundant or ambiguous criteria (e.g. “positivity” + “joy”)
- Always handle empty result sets in your application logic
---
## How It Works
@@ -197,7 +197,7 @@ This lets you prioritize memories that align with your agent’s goals and not j
Criteria retrieval is currently supported only in search v2. Make sure to use `version="v2"` when performing searches with custom criteria.
</Note>
---
## Summary

20
docs/platform/features/platform-overview.mdx
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@@ -11,34 +11,34 @@ Learn about the key features and capabilities that make Mem0 a powerful platform
## Core Features
<CardGroup>
<Card title="Advanced Retrieval" icon="magnifying-glass" href="/features/advanced-retrieval">
<Card title="Advanced Retrieval" icon="magnifying-glass" href="advanced-retrieval">
Superior search results using state-of-the-art algorithms, including keyword search, reranking, and filtering capabilities.
</Card>
<Card title="Contextual Add" icon="square-plus" href="/features/contextual-add">
<Card title="Contextual Add" icon="square-plus" href="contextual-add">
Only send your latest conversation history - we automatically retrieve the rest and generate properly contextualized memories.
</Card>
<Card title="Multimodal Support" icon="photo-film" href="/features/multimodal-support">
<Card title="Multimodal Support" icon="photo-film" href="multimodal-support">
Process and analyze various types of content including images.
</Card>
<Card title="Memory Customization" icon="filter" href="/features/selective-memory">
<Card title="Memory Customization" icon="filter" href="selective-memory">
Customize and curate stored memories to focus on relevant information while excluding unnecessary data, enabling improved accuracy, privacy control, and resource efficiency.
</Card>
<Card title="Custom Categories" icon="tags" href="/features/custom-categories">
<Card title="Custom Categories" icon="tags" href="custom-categories">
Create and manage custom categories to organize memories based on your specific needs and requirements.
</Card>
<Card title="Custom Instructions" icon="list-check" href="/features/custom-instructions">
<Card title="Custom Instructions" icon="list-check" href="custom-instructions">
Define specific guidelines for your project to ensure consistent handling of information and requirements.
</Card>
<Card title="Direct Import" icon="message-bot" href="/features/direct-import">
<Card title="Direct Import" icon="message-bot" href="direct-import">
Tailor the behavior of your Mem0 instance with custom prompts for specific use cases or domains.
</Card>
<Card title="Async Client" icon="bolt" href="/features/async-client">
<Card title="Async Client" icon="bolt" href="async-client">
Asynchronous client for non-blocking operations and high concurrency applications.
</Card>
<Card title="Memory Export" icon="file-export" href="/features/memory-export">
<Card title="Memory Export" icon="file-export" href="memory-export">
Export memories in structured formats using customizable Pydantic schemas.
</Card>
<Card title="Graph Memory" icon="graph" href="/features/graph-memory">
<Card title="Graph Memory" icon="graph" href="graph-memory">
Add memories in the form of nodes and edges in a graph database and search for related memories.
</Card>
</CardGroup>

4
docs/platform/overview.mdx
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@@ -26,11 +26,11 @@ Mem0 Platform offers a powerful, user-centric solution for AI memory management
## Getting Started
Check out our [Platform Guide](/platform/guide) to start using Mem0 platform quickly.
Check out our [Platform Guide](/platform/quickstart) to start using Mem0 platform quickly.
## Next Steps
- Sign up to the [Mem0 Platform](https://mem0.dev/pd)
- Join our [Discord](https://mem0.dev/Did) or [Slack](https://mem0.dev/slack) with other developers and get support.
- Join our [Discord](https://mem0.dev/Did) with other developers and get support.
We're excited to see what you'll build with Mem0 Platform. Let's create smarter, more personalized AI experiences together!