
Der KI-Workspace, in dem Teams und Agenten gemeinsam Arbeit erledigen
HydraDB OSS verzeichnet 29.635 monatliche Besuche mit +5,8 % Wachstum gegenüber dem Vormonat und einem Preismodell „Freemium, Preise auf Anfrage“. Trieve verzeichnet 1.946 monatliche Besuche mit -12,4 % Wachstum und einem Preismodell „Preise auf Anfrage“.

Trieve is an AI search and discovery platform and open API for building RAG applications. It combines hybrid search, chunk management, conversational AI and relevance analytics in one system, and can be used as a managed service or self-hosted.
| Dimension / Kennzahl | ![]() | ![]() |
|---|---|---|
| Offizielle Domain | hydradb.com | trieve.ai |
| Preismodell | Freemium, Preise auf Anfrage | Preise auf Anfrage |
| Monatliche Besuche | 29.635 (29.635) | 1946 (1.946) |
| MoM-Traffic-Delta | +1612 (+5,8 %) | -276 (-12,4 %) |
| Primärmarkt und Anteil | 🇮🇳 Indien (65 %) | 🌐 Global (—) |
| Direkte Besuche / Monat | 17.146 | 763 |
| Nutzerbewertung | 4,4 | 4,7 |
| Unterstützte Plattformen | Website | Website |

Graphdatenbank auf Objektspeicher für Agenten-Gedächtnis und Kontext
Graph, Write-Ahead-Log, Werte und Indizes liegen in S3-kompatiblem Speicher mit Hot/Warm/Cold-Tiering und senken die Infrastrukturkosten deutlich gegenüber speicherresidenten Graphdatenbanken.
Eine Abfrage durchläuft den Graphen und führt zugleich Vektor-, BM25- und Reranking-Suche aus, sodass Agenten nicht vier Systeme orchestrieren müssen.
Alle Änderungen werden erfasst, sodass Agenten erinnern, was wann und in welcher Reihenfolge geschah – Grundlage für Auditierbarkeit und lang laufende Workflows.
OpenCypher über Bolt plus HTTP-API und SDKs erleichtern Teams den Einstieg, die Property-Graphen bereits kennen.

Trieve is an AI search and discovery platform and open API for building RAG applications. It combines hybrid search, chunk management, conversational AI and relevance analytics in one system, and can be used as a managed service or self-hosted.
Combine keyword and vector search so results stay relevant for both exact queries and semantic intent.
Manage documents, chunking and embeddings within the platform instead of building a pipeline from scratch.
Add retrieval-augmented chat over your own content for assistants and knowledge bases.
Inspect search quality with analytics, then tune ranking and relevance based on real queries.

Der KI-Workspace, in dem Teams und Agenten gemeinsam Arbeit erledigen

Exa is a search API and web research tool designed for AI applications. It gives agents clean, structured, real-time web data with semantic search, crawling, enrichment and deep research from a single endpoint.
Exa is a search API and web research tool designed for AI applications. It gives agents clean, structured, real-time web data with semantic search, crawling, enrichment and deep research from a single endpoint.
KI-Suche und Retrieval-Plattform für moderne Apps und Commerce

Kostenlos / Open SourceEin Schlüssel für über 4.100 Agent-Tools, Bezahlung pro Aufruf
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.

Eine Suchbasis aus Embeddings, Rerankern und Reader-APIs

Eine Memory- und Continual-Learning-Engine, die jedem KI-Agenten dauerhaften Kontext gibt
Eine Memory- und Continual-Learning-Engine, die jedem KI-Agenten dauerhaften Kontext gibt
Kostenlos / Open SourceHoncho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools, and machines.
Kostenlos / Open SourceHoncho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools, and machines.

Kostenlos / Open SourceBlitzschnelle Suchmaschine – selbst gehostet oder in der Cloud
Kostenlos / Open SourceBlitzschnelle Suchmaschine – selbst gehostet oder in der Cloud

Zilliz is the company behind Milvus, the open-source vector database, and offers Zilliz Cloud — a fully managed vector database service built for large-scale AI retrieval, RAG, and similarity search workloads.
Zilliz is the company behind Milvus, the open-source vector database, and offers Zilliz Cloud — a fully managed vector database service built for large-scale AI retrieval, RAG, and similarity search workloads.
Kostenlos / Open SourceQdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
Kostenlos / Open SourceQdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
Kostenlos / Open SourceSmythOS is an agentic AI platform with two sides: a visual, drag-and-drop Agent Studio for building AI agents without code, and the open-source SmythOS Runtime Environment (SRE) — an SDK and CLI for running production agents with code. It abstracts LLMs, vector databases, storage and caching behind one unified API so agent logic can be written once and scaled across local, cloud and edge environments.
Kostenlos / Open SourceSmythOS is an agentic AI platform with two sides: a visual, drag-and-drop Agent Studio for building AI agents without code, and the open-source SmythOS Runtime Environment (SRE) — an SDK and CLI for running production agents with code. It abstracts LLMs, vector databases, storage and caching behind one unified API so agent logic can be written once and scaled across local, cloud and edge environments.