A curated index of the tools developers actually use to build with AI. No models — just the tooling around them: frameworks, vector databases, inference, observability, agents and more.
Vector databases store embeddings and return the closest matches fast, which makes them the retrieval layer behind RAG and semantic search. Compare managed and self-hosted options.
Fully managed vector database for production RAG.
Pinecone handles the operational side of vector search — sharding, replication, backups, updates — so you can focus on retrieval quality. Its serverless indexes scale to billions of vectors with millisecond queries and zero ops.
Open-source vector database built in Rust.
Qdrant delivers fast similarity search with rich payload filtering — the exact combination production RAG pipelines usually need. Self-host it with Docker or use the managed cloud, with clients for Python, JS/TS, Rust and Go.
LLM frameworks & SDKs →Inference & model routing →AI coding tools →LLM observability & evals →Data & agent tooling →
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