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langchain/tests/integration_tests
Kacper Łukawski 140ba682f1
Support named vectors in Qdrant (#6871)
# Description

This PR makes it possible to use named vectors from Qdrant in Langchain.
That was requested multiple times, as people want to reuse externally
created collections in Langchain. It doesn't change anything for the
existing applications. The changes were covered with some integration
tests and included in the docs.

## Example

```python
Qdrant.from_documents(
    docs,
    embeddings,
    location=":memory:",
    collection_name="my_documents",
    vector_name="custom_vector",
)
```

### Issue: #2594 

Tagging @rlancemartin & @eyurtsev. I'd appreciate your review.
1 year ago
..
agent
cache
callbacks split up batch llm calls into separate runs (#5804) 1 year ago
chains Add support for passing headers and search params to openai openapi chain (#6782) 1 year ago
chat_models fix anthropic chat model mutating input list (#6457) 1 year ago
document_loaders feat (documents): add LarkSuite document loader (#6420) 1 year ago
embeddings Harrison/octo ml (#6897) 1 year ago
examples Enhancement : Ignore deleted messages and media in WhatsAppChatLoader (#6839) 1 year ago
llms Harrison/octo ml (#6897) 1 year ago
memory Cassandra support for chat history using CassIO library (#6771) 1 year ago
prompts
retrievers
utilities Confluence added (#6432) 1 year ago
vectorstores Support named vectors in Qdrant (#6871) 1 year ago
.env.example
__init__.py
conftest.py
test_document_transformers.py
test_kuzu.py Add KuzuQAChain (#6454) 1 year ago
test_nebulagraph.py
test_nlp_text_splitters.py
test_pdf_pagesplitter.py
test_schema.py
test_text_splitter.py