langchain/docs/extras
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.
2023-06-29 15:14:22 -07:00
..
_templates Doc refactor (#6300) 2023-06-16 11:52:56 -07:00
additional_resources Doc refactor (#6300) 2023-06-16 11:52:56 -07:00
ecosystem Grobid parser for Scientific Articles from PDF (#6729) 2023-06-29 14:29:29 -07:00
guides Update description in Evals notebook (#6808) 2023-06-27 00:26:49 -07:00
modules Support named vectors in Qdrant (#6871) 2023-06-29 15:14:22 -07:00
use_cases Update link in apis.mdx (#6812) 2023-06-27 23:00:26 -07:00