Results for “rag”

Mastra

TypeScript framework for AI agents and workflows: typed tools, graph orchestration, memory, RAG and 90+ model providers.

turbopuffer

Vector + full-text search database built on object storage: cheap at scale, sub-10ms latency, used by Cursor, Notion and Linear.

Firecrawl

Web scraping and crawling API that turns entire websites into clean, structured data ready for AI models to read.

Zep

Builds a living map of everything a user has told an AI agent over time — and how those facts connect and change — so the agent can pull up exactly the right context in under 200 milliseconds instead of re-reading an entire chat history.

Mem0

Gives AI chatbots and agents a real memory — so they remember what you told them last week — instead of forgetting everything the moment a conversation ends, the way most AI apps do by default.

Timbal AI

A toolkit for building AI "employees" that actually finish a job reliably — instead of a chatbot that just talks, Timbal helps a company wire up an AI agent that can look things up, take real actions in other systems, and behave consistently every time.

Fluree

A database that automatically connects your scattered documents, spreadsheets and files into a web of related facts, so an AI agent can actually understand how they relate instead of guessing.

Epsilla

A platform to build AI agents that know your company's specific documents and data, plus a newer tool (HarnessRouter) that lets an app plug into several different AI coding agents through one connection instead of wiring each one up separately.

Atomic

A normal note-taking app only finds what you wrote if you remember the exact words you used. Atomic reads the meaning of your notes instead, so asking "what did I decide about pricing last month" can surface the right note even if you never typed the word

Powabase

Think of it as a Supabase for AI apps specifically — a database, a document-search engine, and a visual agent builder bundled together, so building an AI product doesn't mean separately wiring up Postgres, a vector store, and an orchestration framework yo

MemoryPlugin

Cross-platform long-term memory system that maintains shared context across 21+ AI tools without requiring repetition.

OpenKnowledge

A notes app like Obsidian or Notion, but built so an AI coding assistant can read and edit your documents directly — useful for teams who keep specs, runbooks, or project docs that both humans and AI agents need to work from.

Waldium

A platform from Structured Labs that turns a company's messy, unstructured internal knowledge into clean, structured data that AI systems and agents can actually reliably use — instead of AI agents guessing from scattered docs, wikis, and PDFs.

ContextVault

A shared memory layer that keeps context consistent across Claude, ChatGPT, Copilot and other AI tools, so you and your team stop re-explaining the same things to every new AI session.

Heym

A workflow automation tool you host yourself, where you drag boxes onto a canvas to connect AI models, actions, and approval steps — instead of paying a monthly fee to a cloud automation platform.

Neuledge Context

A free, offline library of documentation that AI coding assistants can search instantly, so they stop guessing about which version of a framework you're actually using.

Dust

Lets a company plug an AI assistant into its own Slack, Notion, Drive and GitHub so employees can ask questions and get answers pulled from actual internal documents, not the open internet.

Flowise

A free, open-source drag-and-drop builder for wiring together chatbots and AI agents out of LLM building blocks, without writing the underlying code.

Polygres

Turns a Postgres database into working memory for AI agents, with hybrid search across relational, graph, and vector queries in one call.

Lens AI

A knowledge layer that keeps every AI chatbot and assistant in your company answering from the same up-to-date source of truth.