qdrant[patch]: Use collection_exists API instead of exceptions (#22764)

## Description

Currently, the Qdrant integration relies on exceptions raised by
[`get_collection`
](https://qdrant.tech/documentation/concepts/collections/#collection-info)
to check if a collection exists.

Using
[`collection_exists`](https://qdrant.tech/documentation/concepts/collections/#check-collection-existence)
is recommended to avoid missing any unhandled exceptions. This PR
addresses this.

## Testing
All integration and unit tests pass. No user-facing changes.

libs/partners/qdrant/langchain_qdrant/vectorstores.py

@@ -23,14 +23,12 @@ from typing import (
 )
 
 import numpy as np
-from grpc import RpcError  # type: ignore
 from langchain_core.documents import Document
 from langchain_core.embeddings import Embeddings
 from langchain_core.runnables.config import run_in_executor
 from langchain_core.vectorstores import VectorStore
 from qdrant_client import AsyncQdrantClient, QdrantClient
 from qdrant_client.http import models
-from qdrant_client.http.exceptions import UnexpectedResponse
 from qdrant_client.local.async_qdrant_local import AsyncQdrantLocal
 
 from langchain_qdrant._utils import maximal_marginal_relevance
@@ -1636,14 +1634,16 @@ class Qdrant(VectorStore):
             path=path,
             **kwargs,
         )
-        try:
+        collection_exists = client.collection_exists(collection_name)
-            # Skip any validation in case of forced collection recreate.
-            if force_recreate:
-                raise ValueError
 
+        if collection_exists and force_recreate:
+            client.delete_collection(collection_name)
+            collection_exists = False
+
+        if collection_exists:
             # Get the vector configuration of the existing collection and vector, if it
             # was specified. If the old configuration does not match the current one,
-            # an exception is being thrown.
+            # an exception is raised.
             collection_info = client.get_collection(collection_name=collection_name)
             current_vector_config = collection_info.config.params.vectors
             if isinstance(current_vector_config, dict) and vector_name is not None:
@@ -1700,7 +1700,7 @@ class Qdrant(VectorStore):
                     f"If you want to recreate the collection, set `force_recreate` "
                     f"parameter to `True`."
                 )
-        except (UnexpectedResponse, RpcError, ValueError):
+        else:
             vectors_config = models.VectorParams(
                 size=vector_size,
                 distance=models.Distance[distance_func],
@@ -1714,8 +1714,6 @@ class Qdrant(VectorStore):
                     vector_name: vectors_config,
                 }
 
-            if client.collection_exists(collection_name):
-                client.delete_collection(collection_name)
             client.create_collection(
                 collection_name=collection_name,
                 vectors_config=vectors_config,
@@ -1795,14 +1793,17 @@ class Qdrant(VectorStore):
             path=path,
             **kwargs,
         )
-        try:
-            # Skip any validation in case of forced collection recreate.
-            if force_recreate:
-                raise ValueError
 
+        collection_exists = client.collection_exists(collection_name)
+
+        if collection_exists and force_recreate:
+            client.delete_collection(collection_name)
+            collection_exists = False
+
+        if collection_exists:
             # Get the vector configuration of the existing collection and vector, if it
             # was specified. If the old configuration does not match the current one,
-            # an exception is being thrown.
+            # an exception is raised.
             collection_info = client.get_collection(collection_name=collection_name)
             current_vector_config = collection_info.config.params.vectors
             if isinstance(current_vector_config, dict) and vector_name is not None:
@@ -1861,7 +1862,7 @@ class Qdrant(VectorStore):
                     f"recreate the collection, set `force_recreate` parameter to "
                     f"`True`."
                 )
-        except (UnexpectedResponse, RpcError, ValueError):
+        else:
             vectors_config = models.VectorParams(
                 size=vector_size,
                 distance=models.Distance[distance_func],
@@ -1875,7 +1876,7 @@ class Qdrant(VectorStore):
                     vector_name: vectors_config,
                 }
 
-            client.recreate_collection(
+            client.create_collection(
                 collection_name=collection_name,
                 vectors_config=vectors_config,
                 shard_number=shard_number,

libs/partners/qdrant/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -463,7 +463,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.2.0rc1"
+version = "0.2.5"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -472,28 +472,25 @@ develop = true
 
 [package.dependencies]
 jsonpatch = "^1.33"
-langsmith = "^0.1.0"
+langsmith = "^0.1.75"
 packaging = "^23.2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
 tenacity = "^8.1.0"
 
-[package.extras]
-extended-testing = ["jinja2 (>=3,<4)"]
-
 [package.source]
 type = "directory"
 url = "../../core"
 
 [[package]]
 name = "langsmith"
-version = "0.1.58"
+version = "0.1.76"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.58-py3-none-any.whl", hash = "sha256:1148cc836ec99d1b2f37cd2fa3014fcac213bb6bad798a2b21bb9111c18c9768"},
+    {file = "langsmith-0.1.76-py3-none-any.whl", hash = "sha256:4b8cb14f2233d9673ce9e6e3d545359946d9690a2c1457ab01e7459ec97b964e"},
-    {file = "langsmith-0.1.58.tar.gz", hash = "sha256:a5060933c1fb3006b498ec849677993329d7e6138bdc2ec044068ab806e09c39"},
+    {file = "langsmith-0.1.76.tar.gz", hash = "sha256:5829f997495c0f9a39f91fe0a57e0cb702e8642e6948945f5bb9f46337db7732"},
 ]
 
 [package.dependencies]

libs/partners/qdrant/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-qdrant"
-version = "0.1.0"
+version = "0.1.1"
 description = "An integration package connecting Qdrant and LangChain"
 authors = []
 readme = "README.md"