Problemsby GlyphQdrant vector search quality is hard to get right
10 posts from 9 people6d activeSteady, +1 this week
Posts per day
The posts behind it
Qdrant hybrid search returns short or empty pages with nonzero offsets
### Submission checklist - [x] This is a bug, not a usage question. - [x] I added a clear and descriptive title that summarizes this issue. - [x] I used the GitHub search to find a similar question and didn't find it. - [x] I am sure that this is a bug in LangChain rather than...
Python: Qdrant vector search fails with qdrant-client 1.16+ (search removed) and with single-comparison filters
## What happens `QdrantCollection._inner_search` in `python/semantic_kernel/connectors/qdrant.py` has two problems that break Qdrant vector search. **1. `AsyncQdrantClient.search` no longer exists.** The vector search path calls `self.qdrant_client.search(...)`. That method was...
Qdrant N8N update question
### Bug Description The @n8n/n8n-nodes-langchain.vectorStoreQdrant node (v1.3, retrieve-as-tool mode, attached to an AI Agent) throws "fetch failed" at execution time. The Qdrant cluster is healthy and the credential tests successfully. The same Qdrant endpoint and API key work...
Qdrant Fetching error
### Bug Description The @n8n/n8n-nodes-langchain.vectorStoreQdrant node (v1.3, retrieve-as-tool mode, attached to an AI Agent) throws "fetch failed" at execution time. The Qdrant cluster is healthy and the credential tests successfully. The same Qdrant endpoint and API key work...
Qdrant Vector Store node: insert fails with "fetch failed" against Qdrant Cloud (search/delete to same host succeed)
### Bug Description The Qdrant Vector Store node (@n8n/n8n-nodes-langchain.vectorStoreQdrant, v1.3) consistently fails with "fetch failed" when running mode: insert against a Qdrant Cloud cluster. Facts that isolate the problem to the insert path of this node: - The qdrantApi...
"Qdrant Vector Store" broken
## Describe the problem/error/question Since September 1st the node "Qdrant Vector Store" doesn't work anymore. ## What is the error message (if any)? "Fetch failed" and others ## Please share your workflow/screenshots/recording { "nodes": [ { "parameters": { "mode": "insert",...
Qdrant v1.19.1 fetch failed
...It did so perfectly in the past. Just wit the latest Qdrant update (Qdrant v1.19.1) it doesnt work anymore. ## Debug info ### core - n8nVersion: 2.37.10 - platform: docker (self-hosted) - nodeJsVersion: 26.5.1 - nodeEnv: production - database: postgres - executionMode: scaling...
Qdrant Vector Store node: "fetch failed" / UND_ERR_INVALID_ARG when loading collections dropdown (undici dispatcher version mismatch)
...directly inside the n8n container: Failed to obtain server version. Unable to check client-server compatibility. CLIENT ERROR: TypeError: fetch failed at Object.processResponse (node:internal/deps/undici/undici:13720:20) ... [cause]: InvalidArgumentError: invalid onError method...
Qdrant Vector Store fails with Qdrant 1.19.x because bundled @qdrant/js-client-rest is outdated
...credentials. 5. Open the Qdrant Collection dropdown. 6. Observe that the collection list fails to load with: "Could not load list - fetch failed". 7. Enter a valid collection name manually. 8. Execute the Qdrant Vector Store node. 9. Observe that execution also fails with:...
n8n 2.37.7 - Qdrant Vector Store "fetch failed" with Qdrant 1.19.0
## Describe the problem/error/question I am experiencing a connection/runtime issue with the **Qdrant Vector Store** node in n8n Cloud. The Qdrant credentials are configured successfully, and Qdrant itself is reachable from the same n8n Cloud instance using an HTTP Request node....
Companies and products named
About this problem
Evidence
10 posts from 9 people in 3 places, about 1 a week over 63 days. Mostly on n8n-io/n8n, microsoft/semantic-kernel, langchain-ai/langchain. Tools named alongside: n8n, LangChain, SQLite, Docker.
Frustration Frustration 0 of 3· Seen on GitHub issues
How it was grouped
Posts that state a pain and match the "vector-search" rule about Qdrant. First post Sep 3, 2026, latest Nov 4, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method
The same problem elsewhere
Vector search quality and scaling are hard to get right
12 posts from 12 people on GitHub issues, Reddit, Stack Overflow.
LlamaIndex vector search quality is hard to get right
3 posts from 3 people on GitHub issues.
Databricks vector search quality is hard to get right
2 posts from 2 people on Reddit. Unverified.
Oracle vector search quality is hard to get right
2 posts from 2 people on GitHub issues. Unverified.
Claude Code vector search quality is hard to get right
2 posts from 2 people on GitHub issues. Unverified.
ClickHouse vector search quality is hard to get right
2 posts from 2 people on GitHub issues. Unverified.
Pinecone vector search quality is hard to get right
2 posts from 1 person on GitHub issues. Unverified.
Other Qdrant problems
RAG on Qdrant returns irrelevant or missing context
3 posts from 2 people on GitHub issues.
History