llama-stack-mirror/docs/source
Adam Young 1039c8e7cf docs: Fix incorrect vector_db_id usage in RAG tutorial
The detailed RAG tutorial was using a client-generated `vector_db_id`.
Recent versions of Llama-Stack ignore this ID and assign a new
server-side ID, causing the `rag_tool.insert` call to fail with a
`400 Bad Request` error.

This commit updates the code to capture the authoritative ID from the
`.identifier` attribute of the `register()` method's response object. A
concise comment is also added to explain why this is necessary.

This ensures the tutorial code runs successfully and reflects the current
API behavior related to the deprecation of VectorDB.
2025-09-14 15:10:01 -05:00
..
advanced_apis chore: remove absolute paths (#3263) 2025-08-27 12:04:25 -07:00
apis chore: bump min python version in docs and tests (#3103) 2025-08-12 08:52:57 -07:00
building_applications chore: Updating documentation, adding exception handling for Vector Stores in RAG Tool, more tests on migration, and migrate off of inference_api for context_retriever for RAG (#3367) 2025-09-11 14:20:11 +02:00
concepts chore: remove absolute paths (#3263) 2025-08-27 12:04:25 -07:00
contributing chore: move benchmarking related code (#3406) 2025-09-10 13:19:44 -07:00
deploying chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
distributions chore: move benchmarking related code (#3406) 2025-09-10 13:19:44 -07:00
getting_started docs: Fix incorrect vector_db_id usage in RAG tutorial 2025-09-14 15:10:01 -05:00
providers feat: add Azure OpenAI inference provider support (#3396) 2025-09-11 13:48:38 +02:00
references fix: Remove bfcl scoring function as not supported (#3281) 2025-08-29 11:03:52 -07:00
conf.py docs: horizontal nav bar (#3407) 2025-09-10 12:43:36 -07:00
index.md docs: Reorganize documentation on the webpage (#2651) 2025-07-15 14:19:35 -07:00