Data and AI struggles

1,307 problems · 307 companies

Databases

LlamaIndex vector search quality is hard to get right

2 posts from 2 people2d activeSteady, +1 this weekunverified

Posts per day

Posts per day2 posts, Sep 11 to Oct 28

The posts behind it

GitHub issuesrun-llama/llama_index · Mohit-25-techOct 23

[Bug]: RecursiveRetriever retains lower-scoring duplicates depending on traversal order

### Bug Description ### Description `RecursiveRetriever` deduplicates results by node ID but always retains the first occurrence, even when a later retrieval path returns the same node with a higher score. The `_deduplicate_nodes()` docstring mentions retaining the...

1 replies
GitHub issuesrun-llama/llama_index · dangz90Sep 11

[Feature Request]: Add autoEmbed vector search and reranker stage to MongoDBAtlasVectorSearch

### Feature Description Add the new capabilities of autoEmbed from vector search and the reranker native stage to MongoDBAtlasVectorSearch ### Reason The current version of MongoDBAtlasVectorSearch does not allow for autoEmbed or add the native reranker stage ### Value of...

2 replies

Companies and products named

2 posts
About this problem

Evidence

2 posts from 2 people in 1 place, about 1 a week over 43 days. Mostly on run-llama/llama_index.

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 LlamaIndex. First post Sep 11, 2026, latest Oct 23, 2026. Unverified: fewer than 3 posts, or one person or place only. Method

The same problem elsewhere

Vector search quality and scaling are hard to get right

10 posts from 10 people on GitHub issues, Reddit, Hacker News.

Qdrant vector search quality is hard to get right

9 posts from 8 people on GitHub issues.

Claude Code vector search quality is hard to get right

2 posts from 2 people on GitHub issues. Unverified.

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.

Pinecone vector search quality is hard to get right

2 posts from 1 person on GitHub issues. Unverified.

Other LlamaIndex problems

LlamaIndex upgrades break working setups

17 posts from 10 people on GitHub issues.

LlamaIndex users keep filing bugs

Top post: "FunctionTool wraps a returned ToolOutput as a success and drops is_error", one of 16 posts from 13 people on GitHub issues, Stack Overflow.

LlamaIndex fails to return valid structured output

5 posts from 5 people on GitHub issues.

RAG on LlamaIndex returns irrelevant or missing context

3 posts from 3 people on GitHub issues.

LlamaIndex lock-in makes switching costly

3 posts from 3 people on GitHub issues.

Trouble with LlamaIndex returns

Top post: "LegacyOfficeReader returns a Document with text None for a document with no text", one of 3 posts from 3 people on GitHub issues.

Trouble with LlamaIndex documents

Top post: "MoorchehVectorStore sparse-vector path raises NameError (missing imports, undefined 'documents', ImpotError", one of 3 posts from 3 people on GitHub issues.

Experiments on LlamaIndex are hard to reproduce and track

3 posts from 3 people on GitHub issues.

Trouble with LlamaIndex events

Top post: "CBEvent assigns generated uuid to self.id instead of self.id_, so events without an id all share id_=", one of 3 posts from 3 people on GitHub issues.

LlamaIndex integrations break or are missing

2 posts from 2 people on GitHub issues. Unverified.

LlamaIndex runs out of context on real work

2 posts from 1 person on GitHub issues. Unverified.

LlamaIndex token costs are hard to predict

2 posts from 2 people on GitHub issues. Unverified.

History

First seen with 2 posts.

Oct 28, 2026