mirror of
https://github.com/hwchase17/langchain.git
synced 2025-08-19 09:30:15 +00:00
Fix documentation typo in Clickhouse Class (#12047)
<!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description:** The return info in the documentation for similarity_search_by_vector and similarity_search_with_relevance_scores is wrong
This commit is contained in:
parent
25418b9b4d
commit
a4c3a44712
@ -410,7 +410,7 @@ CREATE TABLE IF NOT EXISTS {self.config.database}.{self.config.table}(
|
||||
alone. The default name for it is `metadata`.
|
||||
|
||||
Returns:
|
||||
List[Document]: List of (Document, similarity)
|
||||
List[Document]: List of documents
|
||||
"""
|
||||
q_str = self._build_query_sql(embedding, k, where_str)
|
||||
try:
|
||||
@ -442,7 +442,7 @@ CREATE TABLE IF NOT EXISTS {self.config.database}.{self.config.table}(
|
||||
alone. The default name for it is `metadata`.
|
||||
|
||||
Returns:
|
||||
List[Document]: List of documents
|
||||
List[Document]: List of (Document, similarity)
|
||||
"""
|
||||
q_str = self._build_query_sql(
|
||||
self.embedding_function.embed_query(query), k, where_str
|
||||
|
Loading…
Reference in New Issue
Block a user