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chore!: BREAKING CHANGE: vector_db_id -> vector_store_id (#3923)

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# What does this PR do?


## Test Plan
CI
vector_io tests will fail until next client sync

passed with
https://github.com/llamastack/llama-stack-client-python/pull/286 checked
out locally
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ehhuang 2025-10-27 14:26:06 -07:00 • committed by GitHub
parent b6954c9882
commit b7dd3f5c56
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29 changed files with 175 additions and 175 deletions
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20
docs/docs/providers/vector_io/inline_sqlite-vec.mdx
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@ -72,14 +72,14 @@ description: |
Example with hybrid search:
```python
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={"mode": "hybrid", "max_chunks": 3, "score_threshold": 0.7},
)
# Using RRF ranker
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={
"mode": "hybrid",
@ -91,7 +91,7 @@ description: |
# Using weighted ranker
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={
"mode": "hybrid",
@ -105,7 +105,7 @@ description: |
Example with explicit vector search:
```python
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={"mode": "vector", "max_chunks": 3, "score_threshold": 0.7},
)
@ -114,7 +114,7 @@ description: |
Example with keyword search:
```python
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={"mode": "keyword", "max_chunks": 3, "score_threshold": 0.7},
)
@ -277,14 +277,14 @@ The SQLite-vec provider supports three search modes:
Example with hybrid search:
```python
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={"mode": "hybrid", "max_chunks": 3, "score_threshold": 0.7},
)
# Using RRF ranker
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={
"mode": "hybrid",
@ -296,7 +296,7 @@ response = await vector_io.query_chunks(
# Using weighted ranker
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={
"mode": "hybrid",
@ -310,7 +310,7 @@ response = await vector_io.query_chunks(
Example with explicit vector search:
```python
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={"mode": "vector", "max_chunks": 3, "score_threshold": 0.7},
)
@ -319,7 +319,7 @@ response = await vector_io.query_chunks(
Example with keyword search:
```python
response = await vector_io.query_chunks(
vector_db_id="my_db",
vector_store_id="my_db",
query="your query here",
params={"mode": "keyword", "max_chunks": 3, "score_threshold": 0.7},
)