Is Haystack or LlamaIndex more straightforward for building a retrieval augmented generation pipeline to answer questions about my medical history securely?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is Haystack or LlamaIndex more straightforward for building a retrieval augmented generation pipeline to answer questions about my medical history securely?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
LlamaIndex documentation privacy self-hosted data ingestion security access control RAG 2026 Google ↗
Haystack documentation security privacy self-hosted pipelines document stores RAG 2026 Google ↗
- Privacy and Security · developers.llamaindex.ai
- Pipelines · docs.haystack.deepset.ai
- Data Privacy and LLM Providers · docs.cloud.deepset.ai
- Build RAG pipelines with Haystack and Azure Files · learn.microsoft.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
LlamaIndex documentation privacy self-hosted data ingestion security access control RAG 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Haystack documentation security privacy self-hosted pipelines document stores RAG 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |