An integration package connecting Qdrant and GigaChain
Project description
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",
)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
gigachain_qdrant-0.1.3.tar.gz
(20.6 kB
view details)
Built Distribution
File details
Details for the file gigachain_qdrant-0.1.3.tar.gz.
File metadata
- Download URL: gigachain_qdrant-0.1.3.tar.gz
- Upload date:
- Size: 20.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.11.6 Darwin/23.5.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7f8c09b6d571b6b67df7fbd609f5225700a746c529fecf7e7859f5313880e35d |
|
| MD5 | 3c3f808b705da3da50ddb79066ca0988 |
|
| BLAKE2b-256 | 438bd39fcbaae1934943485a6446a7c5ffc9af98f9dcbb43e7e25afc083c194a |
File details
Details for the file gigachain_qdrant-0.1.3-py3-none-any.whl.
File metadata
- Download URL: gigachain_qdrant-0.1.3-py3-none-any.whl
- Upload date:
- Size: 22.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.11.6 Darwin/23.5.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8b6f67eb480d97ef98b6226bccd65149d3d43227af4cd516ba799d8275999708 |
|
| MD5 | 14de2f424458db903444d75cb415e4d2 |
|
| BLAKE2b-256 | bf94ccc6885cb618f7d8ac4d841bd7636dbfdf31257955e0cdd751ee471d8d1a |
