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infiniflow
infinity
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infiniflow / infinity

infinity

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

2Distinct people
5Mentions
0Explicit recommenders
4.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week5 dated mentions

Observed mentions: 2024-04-29 13:05:53 UTC to 2024-08-07 13:31:01 UTC. Weeks start Monday, UTC.

0122024-04-29 00:00:00 UTC to 2024-05-06 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 292024-05-06 00:00:00 UTC to 2024-05-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-13 00:00:00 UTC to 2024-05-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-20 00:00:00 UTC to 2024-05-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-27 00:00:00 UTC to 2024-06-03 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-06-03 00:00:00 UTC to 2024-06-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-06-10 00:00:00 UTC to 2024-06-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-06-17 00:00:00 UTC to 2024-06-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 172024-06-24 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-01 00:00:00 UTC to 2024-07-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-08 00:00:00 UTC to 2024-07-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-15 00:00:00 UTC to 2024-07-22 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-07-22 00:00:00 UTC to 2024-07-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-29 00:00:00 UTC to 2024-08-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-05 00:00:00 UTC to 2024-08-12 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 5

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 292024-04-29 00:00:00 UTC2024-05-06 00:00:00 UTC101
May 62024-05-06 00:00:00 UTC2024-05-13 00:00:00 UTC000
May 132024-05-13 00:00:00 UTC2024-05-20 00:00:00 UTC000
May 202024-05-20 00:00:00 UTC2024-05-27 00:00:00 UTC000
May 272024-05-27 00:00:00 UTC2024-06-03 00:00:00 UTC202
Jun 32024-06-03 00:00:00 UTC2024-06-10 00:00:00 UTC000
Jun 102024-06-10 00:00:00 UTC2024-06-17 00:00:00 UTC000
Jun 172024-06-17 00:00:00 UTC2024-06-24 00:00:00 UTC000
Jun 242024-06-24 00:00:00 UTC2024-07-01 00:00:00 UTC000
Jul 12024-07-01 00:00:00 UTC2024-07-08 00:00:00 UTC000
Jul 82024-07-08 00:00:00 UTC2024-07-15 00:00:00 UTC000
Jul 152024-07-15 00:00:00 UTC2024-07-22 00:00:00 UTC110
Jul 222024-07-22 00:00:00 UTC2024-07-29 00:00:00 UTC000
Jul 292024-07-29 00:00:00 UTC2024-08-05 00:00:00 UTC000
Aug 52024-08-05 00:00:00 UTC2024-08-12 00:00:00 UTC101

What Hacker News says

5 sources
RRF is a simple and effective means of fused ranking for multiple recall. Within our open source RAG product RAGFlow(https://github.com/infiniflow/ragflow), Elasticsearch is currently used instead of other general vector databases, because it can provide hybrid search right now. Under the default cases, embedding based reranker is not required, just RRF is enough, while even if reranker is used, keywords based retrieval is also a MUST to be hybridized with embedding based retrieval, that's just what RAGFlow's latest 0.7 release has provided. On the other hand let me introduce another database we developed, Infinity(https://github.com/infiniflow/infinity), which can provide the hybrid search, you can see the performance here(https://github.com/infiniflow/infinity/blob/main/docs/refere...), both vector search and full-text search could perf
Read the rest
orm much faster than other open source alternatives. From the next version(weeks later), Infinity will also provide more comprehensive hybrid search capabilities, what you have mentioned the 3-way recalls(dense vector, sparse vector, keyword search) could be provided within single request.
In Better RAG Results with Reciprocal Rank Fusion and Hybrid Search

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