langchain-qdrant
This package contains the LangChain integration with Qdrant.
Installation
pip install -U langchain-qdrant
Usage
The Qdrant class exposes the connection to the Qdrant vector store.
from langchain_qdrant import Qdrant
embeddings = ... # use a LangChain Embeddings class
vectorstore = Qdrant.from_existing_collection(
embeddings=embeddings,
collection_name="<COLLECTION_NAME>",
url="http://localhost:6333",
)
Metadata
Release files for gigachain-qdrant 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gigachain_qdrant-0.1.3.tar.gz | 20.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gigachain_qdrant-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 43.1 kB
Release files / gigachain_qdrant-0.1.3.tar.gz
| Download URL | gigachain_qdrant-0.1.3.tar.gz |
|---|---|
| Size | 20.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / gigachain_qdrant-0.1.3-py3-none-any.whl
| Download URL | gigachain_qdrant-0.1.3-py3-none-any.whl |
|---|---|
| Size | 22.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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poetry/1.7.1 CPython/3.11.6 Darwin/23.5.0
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