Best Vector & Retrieval tools

Embeddings, vector search and retrieval-augmented generation.

10 tools ranked · updated 2026-08

1. Ranked 1

   78.8 — BenchRank score out of 100

   Meilisearch

   Meilisearch · Open-source search engine with full-text, semantic and hybrid retrieval

   Best for: Development teams adding full-text, semantic or hybrid search to an app, self-hosted or managed

   

2. Ranked 2

   69.5 — BenchRank score out of 100

   Redis

   Redis · In-memory data platform for caching, vector search and agent context

   Best for: Teams needing a low-latency store for caching, vector search and agent context, hosted or self-run

   

3. Ranked 3

   66.1 — BenchRank score out of 100

   SWIRL

   Swirl Search · Federated enterprise search and MCP layer that leaves data in place

   Best for: Regulated enterprises wanting AI search over existing systems without copying data to a new index

   

4. Ranked 4

   54.2 — BenchRank score out of 100

   OpenSearch

   OpenSearch · Open source search, observability and security analytics suite

   Best for: Teams self-hosting search, log analytics or observability on an open source Lucene stack

   

5. Ranked 5

   49.6 — BenchRank score out of 100

   FastGPT

   FastGPT · Open-source builder for AI agents with a retrieval knowledge base

   Best for: Enterprise teams building internal AI agents over their own documents, cloud or self-hosted

   

6. Ranked 6

   48.2 — BenchRank score out of 100

   Swiftype

   Swiftype · Cloud-hosted site, application and enterprise search

   Best for: Sites needing hosted search with a crawler, relevance tuning and analytics, e.g. after Google Site Search

   

7. Ranked 7

   45.2 — BenchRank score out of 100

   Typesense

   Typesense · Open-source in-memory search engine with a REST API

   Best for: Developers adding typo-tolerant instant search to an app, self-hosted or on managed clusters.

   

8. Ranked 8

   44.9 — BenchRank score out of 100

   Manticore Search

   Manticore Search · Open source search database with SQL and JSON interfaces

   Best for: Teams replacing Elasticsearch for full-text, log or vector search on modest hardware

   

9. Ranked 9

   36 — BenchRank score out of 100

   Quickwit

   Quickwit · Sub-second search and analytics engine on cloud storage

   Best for: DevOps and data engineers running log and trace search over large volumes on cheap object storage.

   

10. Ranked 10

    24.2 — BenchRank score out of 100

    Algolia

    Algolia · AI search and retrieval platform for search, generative and agentic use

    Best for: Teams adding search to sites or apps who can price by search requests and record count