# \[Question\] gRPC Connection Issues in Weaviate v4 (Hybrid Search & fetch\_by\_object\_id Failing)

**URL:** <https://forum.weaviate.io/t/question-grpc-connection-issues-in-weaviate-v4-hybrid-search-fetch-by-object-id-failing/10554>\
**Category:** Support\
**Tags:** bug, python, technical\
**Created:** [February 26, 2025, 7:01am UTC](https://forum.weaviate.io/t/question-grpc-connection-issues-in-weaviate-v4-hybrid-search-fetch-by-object-id-failing/10554 "2025-02-26T07:01:47Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![user\_mollang](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/user_mollang/32/3524_2.png) [@user\_mollang](https://forum.weaviate.io/u/user_mollang)\
**Post date:** [February 26, 2025, 7:01am UTC](https://forum.weaviate.io/t/question-grpc-connection-issues-in-weaviate-v4-hybrid-search-fetch-by-object-id-failing/10554/1 "2025-02-26T07:01:47Z")

</div>

I’m using Weaviate v4 to create a collection and index data. However, when I try to search the indexed data, both **multi target vector search** and **fetch\_by\_object\_id** fail with a gRPC-related error.  
Could you help me figure out where the issue is?

My **Weaviate instance** is running via **Docker Compose** , and I’m using **Weaviate version 1.29.0** (also tested with **1.27.0** , same issue).

# Env

image: [cr.weaviate.io/semitechnologies/weaviate:1.29.0](http://cr.weaviate.io/semitechnologies/weaviate:1.29.0)  
weaivate python client: 4.11.0  
python 3.10.12

# Error Message

```bash
Query call with protocol GRPC search failed with message The request to Weaviate failed after 5 retries. Details: <AioRpcError of RPC that terminated with:
        status = StatusCode.UNAVAILABLE
        details = "failed to connect to all addresses; last error: UNKNOWN: ipv4:115.x.x.x:50054: Failed to connect to remote host: connect: Connection refused (111)"
        debug_error_string = "UNKNOWN:Error received from peer {created_time:"2025-02-26T06:45:13.059068484+00:00", grpc_status:14, grpc_message:"failed to connect to all addresses; last error: UNKNOWN: ipv4:115.x.x.x:50054: Failed to connect to remote host: connect: Connection refused (111)"}" 

```

# Setup Details

```auto
services:
  weaviate:
    command:
    - --host
    - 0.0.0.0
    - --port
    - '8083'
    - --scheme
    - http
    image: cr.weaviate.io/semitechnologies/weaviate:1.29.0
    ports:
    - 8083:8083
    - 50054:50054
    ipc: host
    volumes:
    - ./weaviate_data:/var/lib/weaviate
    restart: on-failure:0
    environment:
      ASYNC_INDEXING: 'true'
      DISABLE_TEMETRY: 'true'
      LOG_LEVEL: 'debug'
      QUERY_DEFAULTS_LIMIT: 100
      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'true'
      DISK_USE_WARNING_PERCENTAGE: 80
      DISK_USE_READONLY_PERCENTAGE: 95
      MEMORY_READONLY_PERCENTAGE: 95
      PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
      DEFAULT_VECTORIZER_MODULE: 'none'
      ENABLE_MODULES: ''
      CLUSTER_HOSTNAME: 'node1'
      GOMAXPROCS: 48

```

# Python Create and Insert Code

```python
import os 
import re
from weaviate.classes.query import MetadataQuery
import weaviate
from weaviate.connect import ConnectionParams
from weaviate.classes.init import AdditionalConfig, Timeout, Auth
from weaviate.classes.config import Configure, Property, DataType, VectorDistances, VectorFilterStrategy
from weaviate.classes.query import HybridFusion
from weaviate.classes.query import TargetVectors, MetadataQuery
from auto_encoder import auto_encoder
from tqdm import tqdm 

"""Collection creation code (multiple target vectors)"""
vdb_grpc_host = 'localhost'
vdb_http_port = '8083'
vdb_http_host = 'localhost'
vdb_grpc_port = '50054'

connection_params = ConnectionParams.from_params(
    http_host=vdb_http_host,
    http_port=vdb_http_port,
    grpc_host=vdb_grpc_host,
    grpc_port=vdb_grpc_port,
    http_secure=False,
    grpc_secure=False,
)
additional_config = AdditionalConfig(
    timeout=Timeout(init=30, query=60, insert=120), 
)

connection = weaviate.WeaviateClient(
    connection_params=connection_params,
    additional_config=additional_config,
    skip_init_checks=True
)

connection.connect()
COLLECTION_ID = 'Test'
res = connection.collections.create(
    COLLECTION_ID,
    vectorizer_config=[
        Configure.NamedVectors.none(name="name", vector_index_config=Configure.VectorIndex.hnsw()),
        Configure.NamedVectors.none(name="content", vector_index_config=Configure.VectorIndex.hnsw()),
    ]
)

"""Collection data indexing code"""
data = {
    "name": "sample name",
    "content": "blahblah",
    "length": 435
}

vector = {
    'name': name_v, 
    'content': content_v
}

target_collection = connection.collections.get(COLLECTION_ID)
uuid = target_collection.data.insert(
    properties=data,
    vector=vector
)
print(uuid) # > UUID('d15dc94b-efe4-4e92-8e69-0af29c6f6755')

```

# python search Code

```python
collection = connection.collections.get(COLLECTION_ID)
print("----collection-----")
print(collection)

text_list = ["name_test", "content_v"]
name_v, content_v = auto_encoder.local_embedding(text_list, ENCODER_ID)
print(len(name_v)) # > 4096

try:
    vector_map = {
        "name": name_v,
        "content": content_v
    }

    response = collection.query.near_vector(
        near_vector=vector_map,
        target_vector=["name", "content"],
        return_metadata=MetadataQuery(distance=True)
    )

    print("====response====")
    for o in response.objects:
        print(o.properties)
        print(o.metadata.distance)
except Exception as e:
    print(str(e))
finally:
    connection.close()

```

---

<div class="post-metadata">

**Author:** ![Dirk](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dirk/32/46_2.png) [@Dirk](https://forum.weaviate.io/u/Dirk)\
**Post date:** [February 26, 2025, 8:11am UTC](https://forum.weaviate.io/t/question-grpc-connection-issues-in-weaviate-v4-hybrid-search-fetch-by-object-id-failing/10554/2 "2025-02-26T08:11:51Z")

</div>

Hey, you need to set the GRPC\_PORT environment variable.