kartik-mem0
bbfe0f9bb2
- create-memory-export.mdx: replace `session_id` filter with `app_id`
(spec: /v1/exports/ filters = user_id, agent_id, app_id, run_id)
- get-memory-export.mdx: replace stale filter list (session_id removed)
with correct fields: user_id, agent_id, app_id, run_id, created_at, updated_at
- search-memories.mdx: fix comparison table — rerank V1/V2 default was
`true`, spec shows `false`; threshold V1 is absent (not "No default"),
V2 default is 0.3 (not absent)
- organizations-projects.mdx: rewrite Key Capabilities bullet — org/project
are NOT init params; they resolve automatically from the API key via /v1/ping/
- openapi.json DELETE /v1/batch/: fix request schema from {memory_ids:[uuid]}
to {memories:[{memory_id:uuid}]} to match Python client.batch_delete()
- openapi.json PUT /v1/batch/: make `text` optional (remove from required),
add optional `metadata` property — matches Python client.batch_update() docstring
118 lines
3.1 KiB
Plaintext
118 lines
3.1 KiB
Plaintext
---
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title: 'Search Memories'
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description: "Search memories with hybrid retrieval (semantic + BM25 + entity matching) and advanced filtering using logical and comparison operators."
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openapi: post /v3/memories/search/
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---
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Relevance-ranked hybrid search across stored memories. V3 uses multi-signal retrieval — semantic, BM25 keyword, and entity matching scored in parallel and fused. The returned `score` is a combined `[0, 1]` value.
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Entity IDs (`user_id`, `agent_id`, `app_id`, `run_id`) **must** be passed inside the `filters` object — top-level entity IDs are rejected with 400. At least one entity ID is required.
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The `filters` object supports complex logical operations (AND, OR, NOT) and comparison operators:
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- `in`: Matches any of the values specified
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- `gte`: Greater than or equal to
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- `lte`: Less than or equal to
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- `gt`: Greater than
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- `lt`: Less than
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- `ne`: Not equal to
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- `icontains`: Case-insensitive containment check
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- `*`: Wildcard character that matches everything
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### Search parameter defaults
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| Parameter | V1/V2 | V3 |
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| --- | --- | --- |
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| `top_k` | Supported (default 10) | Supported (1-1000, default 10) |
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| `threshold` | V1: not supported / V2: default `0.3` | Default `0.1` (pass `0.0` to disable) |
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| `rerank` | Default `false` | Default `false` (pass `true` to enable) |
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<CodeGroup>
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```python Platform API Example
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related_memories = client.search(
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query="What are Alice's hobbies?",
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filters={
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"OR": [
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{
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"user_id": "alice"
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},
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{
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"agent_id": {"in": ["travel-agent", "sports-agent"]}
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}
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]
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},
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)
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```
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```json Output
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{
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"results": [
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{
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"id": "ea925981-272f-40dd-b576-be64e4871429",
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"memory": "Likes to play cricket and plays cricket on weekends.",
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"user_id": "alice",
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"metadata": {
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"category": "hobbies"
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},
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"score": 0.82,
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"created_at": "2024-07-26T10:29:36.630547-07:00",
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"updated_at": null,
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"categories": ["hobbies"]
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}
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]
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}
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```
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</CodeGroup>
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<CodeGroup>
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```python Wildcard Example
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# Using wildcard to match all run_ids for a specific user
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all_memories = client.search(
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query="What are Alice's hobbies?",
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filters={
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"AND": [
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{
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"user_id": "alice"
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},
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{
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"run_id": "*"
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}
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]
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},
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)
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```
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</CodeGroup>
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<CodeGroup>
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```python Categories Filter Examples
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# Example 1: Using 'contains' for partial matching
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finance_memories = client.search(
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query="What are my financial goals?",
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filters={
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"AND": [
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{ "user_id": "alice" },
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{
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"categories": {
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"contains": "finance"
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}
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}
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]
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},
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)
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# Example 2: Using 'in' for exact matching
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personal_memories = client.search(
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query="What personal information do you have?",
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filters={
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"AND": [
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{ "user_id": "alice" },
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{
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"categories": {
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"in": ["personal_information"]
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}
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}
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]
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},
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)
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```
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</CodeGroup>
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