# Qdrant

Qdrant is a high-performance vector search engine with APIs, cloud deployments, and real-time retrieval capabilities.

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## Building the AI Retrieval Infrastructure Behind 20 Billion+ Vectors at HubSpot

DevFeed: [Building the AI Retrieval Infrastructure Behind 20 Billion+ Vectors at HubSpot](<https://devfeed.tech/articles/building-the-ai-retrieval-infrastructure-behind-20-billion-vectors-at-hubspot-29102.md>)

Original publisher: [Read original article](<https://product.hubspot.com/blog/building-the-ai-retrieval-infrastructure-behind-20-billion-vectors-at-hubspot>)

Author: Oleg Tereshin & Xin Liu

Published: 2026-06-25T18:17:44Z

Content type: article

Language: en

Sources: [HubSpot](<https://devfeed.tech/sources/hubspot.md>)

Topics: [Qdrant](<https://devfeed.tech/topics/qdrant.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Retrieval-Augmented Generation](<https://devfeed.tech/topics/retrieval-augmented-generation.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [systems](<https://devfeed.tech/topics/systems.md>), [quantization](<https://devfeed.tech/topics/quantization.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [latency](<https://devfeed.tech/tags/latency.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [quantization](<https://devfeed.tech/tags/quantization.md>), [rag](<https://devfeed.tech/tags/rag.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [search](<https://devfeed.tech/tags/search.md>), [vector-database](<https://devfeed.tech/tags/vector-database.md>), [vectors](<https://devfeed.tech/tags/vectors.md>)

### AI overview

HubSpot describes how it built VaaS, a centralized vector storage and search platform using Qdrant, to support semantic search across tens of billions of vectors and many use cases.

### Source excerpt

Discover how HubSpot built a scalable AI retrieval infrastructure, managing over 20 billion vectors with Qdrant, to enhance semantic search and support diverse applications.

## How I Gave the Claude App Access to My Self-Hosted Second Brain

DevFeed: [How I Gave the Claude App Access to My Self-Hosted Second Brain](<https://devfeed.tech/articles/how-i-gave-the-claude-app-access-to-my-self-hosted-second-brain-25173.md>)

Original publisher: [Read original article](<https://www.ivanmorgillo.com/2026/06/13/claude-app-self-hosted-second-brain/>)

Author: Ivan Morgillo

Published: 2026-06-13T06:45:00Z

Content type: tutorial

Language: en

Sources: [Ivan Morgillo](<https://devfeed.tech/sources/ivan-morgillo.md>)

Topics: [Claude](<https://devfeed.tech/topics/claude.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Self-hosted](<https://devfeed.tech/topics/self-hosted.md>), [OAuth](<https://devfeed.tech/topics/oauth.md>), [tailscale](<https://devfeed.tech/topics/tailscale.md>), [Qdrant](<https://devfeed.tech/topics/qdrant.md>)

Tags: [claude](<https://devfeed.tech/tags/claude.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [oauth](<https://devfeed.tech/tags/oauth.md>), [phone-app](<https://devfeed.tech/tags/phone-app.md>), [self-hosted](<https://devfeed.tech/tags/self-hosted.md>), [solar](<https://devfeed.tech/tags/solar.md>), [tailscale](<https://devfeed.tech/tags/tailscale.md>)

### AI overview

The author describes extending a self-hosted memory service to the Claude app through a remote MCP server. The design keeps the data at home while exposing an HTTPS endpoint through Tailscale Funnel and protecting it with OAuth 2.1, including PKCE and refresh tokens; Qdrant is also part of the setup.

### Source excerpt

I gave the Claude phone app access to my self-hosted memory -- a remote MCP server over Tailscale Funnel, OAuth and Qdrant, running on a solar-powered PC at home.

## Building a Semantic Search Engine with Qdrant & Encore.ts

DevFeed: [Building a Semantic Search Engine with Qdrant & Encore.ts](<https://devfeed.tech/articles/building-a-semantic-search-engine-with-qdrant-encore-ts-17832.md>)

Original publisher: [Read original article](<https://encore.dev/blog/qdrant-semantic-search>)

Author: Ivan Cernja

Published: 2025-05-28T00:00:00Z

Content type: tutorial

Language: en

Sources: [Encore Updates](<https://devfeed.tech/sources/encore-updates.md>)

Topics: [Qdrant](<https://devfeed.tech/topics/qdrant.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Back end](<https://devfeed.tech/topics/backend.md>), [Databases](<https://devfeed.tech/topics/databases.md>)

Tags: [backend](<https://devfeed.tech/tags/backend.md>), [code](<https://devfeed.tech/tags/code.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [openai](<https://devfeed.tech/tags/openai.md>), [search](<https://devfeed.tech/tags/search.md>), [sql](<https://devfeed.tech/tags/sql.md>), [sql-database](<https://devfeed.tech/tags/sql-database.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>), [vector](<https://devfeed.tech/tags/vector.md>), [vector-database](<https://devfeed.tech/tags/vector-database.md>)

### AI overview

A tutorial for building a semantic search engine with OpenAI embeddings and the Qdrant vector database. It explains how natural-language queries can retrieve conceptually related documents and describes using Encore services with a SQL database for document metadata.

### Source excerpt

Create powerful semantic search using OpenAI embeddings and Qdrant vector database

## Top 10 Launches of Launch Week 12

DevFeed: [Top 10 Launches of Launch Week 12](<https://devfeed.tech/articles/top-10-launches-of-launch-week-12-419.md>)

Original publisher: [Read original article](<https://supabase.com/blog/launch-week-12-top-10>)

Author: Paul Copplestone

Published: 2024-08-16T07:00:00Z

Content type: article

Language: en

Sources: [Supabase Blog](<https://devfeed.tech/sources/supabase-blog.md>)

Topics: [Supabase](<https://devfeed.tech/topics/supabase.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [ai and ml](<https://devfeed.tech/topics/ai-and-ml.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Python](<https://devfeed.tech/topics/python.md>), [GitHub Copilot](<https://devfeed.tech/topics/github-copilot.md>), [vs-code](<https://devfeed.tech/topics/vs-code.md>), [Auth0](<https://devfeed.tech/topics/auth0.md>), [browser](<https://devfeed.tech/topics/browser.md>), [Qdrant](<https://devfeed.tech/topics/qdrant.md>), [wasm](<https://devfeed.tech/topics/wasm.md>), [Amazon S3](<https://devfeed.tech/topics/amazon-s3.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-ml](<https://devfeed.tech/tags/ai-and-ml.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [auth](<https://devfeed.tech/tags/auth.md>), [authentication](<https://devfeed.tech/tags/authentication.md>), [authorization](<https://devfeed.tech/tags/authorization.md>), [browser](<https://devfeed.tech/tags/browser.md>), [cli](<https://devfeed.tech/tags/cli.md>), [copilot](<https://devfeed.tech/tags/copilot.md>), [database](<https://devfeed.tech/tags/database.md>), [extension](<https://devfeed.tech/tags/extension.md>), [launch](<https://devfeed.tech/tags/launch.md>), [python](<https://devfeed.tech/tags/python.md>), [s3](<https://devfeed.tech/tags/s3.md>), [vs-code](<https://devfeed.tech/tags/vs-code.md>), [wasm](<https://devfeed.tech/tags/wasm.md>)

### AI overview

A ranked overview of Supabase Launch Week 12 highlights, including open-source database tools, data migration utilities, VS Code and GitHub Copilot integration, official Python support, log export, Realtime authorization, expanded authentication options, WebAssembly foreign data wrappers, and database.build, an in-browser Postgres sandbox with AI assistance.

### Source excerpt

Highlights from Launch Week 12

## vec2pg: Migrate to pgvector from Pinecone and Qdrant

DevFeed: [vec2pg: Migrate to pgvector from Pinecone and Qdrant](<https://devfeed.tech/articles/vec2pg-migrate-to-pgvector-from-pinecone-and-qdrant-704.md>)

Original publisher: [Read original article](<https://supabase.com/blog/vec2pg>)

Author: Oliver Rice

Published: 2024-08-16T07:00:00Z

Content type: article

Language: en

Sources: [Supabase Blog](<https://devfeed.tech/sources/supabase-blog.md>)

Topics: [Qdrant](<https://devfeed.tech/topics/qdrant.md>), [Supabase](<https://devfeed.tech/topics/supabase.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [cli](<https://devfeed.tech/tags/cli.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [data](<https://devfeed.tech/tags/data.md>), [databases](<https://devfeed.tech/tags/databases.md>), [developer](<https://devfeed.tech/tags/developer.md>), [issue-tracker](<https://devfeed.tech/tags/issue-tracker.md>), [network](<https://devfeed.tech/tags/network.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [recovery](<https://devfeed.tech/tags/recovery.md>), [scale](<https://devfeed.tech/tags/scale.md>), [speed](<https://devfeed.tech/tags/speed.md>), [sql](<https://devfeed.tech/tags/sql.md>), [technology](<https://devfeed.tech/tags/technology.md>), [tools](<https://devfeed.tech/tags/tools.md>), [vector](<https://devfeed.tech/tags/vector.md>)

### AI overview

vec2pg is a command-line utility that migrates data from Pinecone and Qdrant vector databases into Supabase or another Postgres instance using pgvector. It preserves identifiers and metadata, supports Pinecone namespaces and cloud or locally hosted Qdrant instances, and reports throughput under specified infrastructure conditions.

### Source excerpt

Migrate vector data from vector DBs to Supabase