This page provides details about qdrant.tech (AI Tools) which was ranked #99 out of 273 in the list of sources (3 citations (0.2% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 2 questions: "If I'm looking to get into AI Tools, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed.", "What does the AI Tools industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry." on Dec 29, 2025 by AI Chat Watch.
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| URL Path | Citations | Position |
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| qdrant.tech | 3 | 59 |
If I'm looking to get into AI Tools, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed.
[...] tps://www.together.ai/) - Hardware/inference challengers (watch closely): - [Groq](https://groq.com/) - [Cerebras Systems](https://www.cerebras.net/) ### Vector databases (common for RAG) - [Pinecone](https://www.pinecone.io/) - [Weaviate](https://weaviate.io/) - [Milvus](https://milvus.io/) - [Qdrant](https://qdrant.tech/) - [Chroma](https://www.trychroma.com/) - If you want Postgres-native vectors: [pgvector](https://github.com/pgvector/pgvector) (database: [PostgreSQL](https://www.postgresql.org/)) Related concept: - [Vector database](https://en.wikipedia.org/wiki/Vector_database) ### Experiment tracking / obser [...]
[...] , [Mistral AI](https://mistral.ai/), [Cohere](https://cohere.com/) - AI-native search/consumer: [Perplexity](https://www.perplexity.ai/) - Data & training pipeline: [Scale AI](https://scale.com/) - Vector search infrastructure: [Pinecone](https://www.pinecone.io/), [Weaviate](https://weaviate.io/), [Qdrant](https://qdrant.tech/) - Voice/audio generation: [ElevenLabs](https://elevenlabs.io/) - Developer infra: [LangChain](https://www.langchain.com/), [LlamaIndex](https://www.llamaindex.ai/), [Replicate](https://replicate.com/), [Together AI](https://www.together.ai/) - New compute approaches: [Groq](https://groq.com/), [Ce [...]
What does the AI Tools industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.
[...] k.deepset.ai/) - [DSPy (Stanford NLP)](https://github.com/stanfordnlp/dspy) ### Vector databases (common in [Retrieval-augmented generation (RAG)](https://arxiv.org/abs/2005.11401)) - [Pinecone](https://www.pinecone.io/) - [Weaviate](https://weaviate.io/) - [Milvus](https://milvus.io/) - [Qdrant](https://qdrant.tech/) - [Chroma](https://www.trychroma.com/) ### Experiment tracking, evaluation, and observability (often grouped under [MLOps](https://en.wikipedia.org/wiki/MLOps)) - [Weights & Biases](https://wandb.ai/site) - [Arize Phoenix](https://arize.com/phoenix/) - [LangSmith](https://www.langchain.com/ [...]