An Apache-2.0 TypeScript framework for building AI agents — workflows, memory, RAG and evals — with a local studio and an agentic software factory on top.
Coding & DevelopmentFreemium
RAG
Retrieval-augmented generation — tools that ground model answers in your own documents and data.
18 apps, 8 skills and 11 MCP servers tagged RAG.
Apps
Turn any website into clean markdown or structured JSON — crawling, JavaScript rendering, and extraction in one API.
Data & AnalyticsFreemium
A vectorless RAG engine that builds a tree index of long PDFs and lets an LLM reason its way to the right section, with page-level citations.
Data & AnalyticsFreemium
Turn a Postgres database into working memory for AI agents — relational rows, graph traversal and vector search fused into one ranked, token-budgeted context block.
Data & AnalyticsFreemium
One API to search, scrape, crawl, map and monitor the web, returning clean structured text that AI agents and RAG pipelines can use directly.
Data & AnalyticsFreemium
Enterprise Work AI platform — permission-aware search across every company app, plus an assistant and agents that act on the results.
Business & ProductivitySubscription
A search API purpose-built for RAG and agents — returns synthesised, cited content instead of a list of links.
Data & AnalyticsFreemium
ETL for unstructured data — turn PDFs, slides, emails, and images into clean, AI-ready structured output.
Data & AnalyticsFreemium
An open-source AI-native database combining vector search, structured filtering, and built-in model integrations.
Data & AnalyticsFreemium
A fully managed vector database for semantic search and retrieval at billion-scale, with no infrastructure to run.
Data & AnalyticsFreemium
Document parsing and retrieval built for agents — turn messy PDFs into structured, queryable context.
Coding & DevelopmentFreemium
The framework and observability platform most teams use to build, debug, and ship LLM agents.
Coding & DevelopmentFreemium
An open-source platform for building production LLM applications — visual workflows, RAG, and agents in one place.
Automation & WorkflowsFreemium
A coding agent built for very large codebases, with a context engine that indexes millions of lines.
Coding & DevelopmentSubscription
An all-in-one private AI workspace: chat with your documents, run agents, and keep everything on your device.
Business & ProductivityFree
A self-hosted, feature-rich chat interface that puts a polished front end on Ollama and any OpenAI-compatible API.
Coding & DevelopmentFree
NotebookLM helps you learn from your sources with AI.
Education & ResearchFreemium
Instantly provide support with your custom AI agent
Business & ProductivitySubscription
Skills
Take an OpenSearch search application from requirements to a running cluster — BM25, dense and sparse vectors, hybrid retrieval, agentic search and RAG, with relevance evaluation built in.
5 views
Redis' own guidance for FT.CREATE schema design, FT.SEARCH / FT.AGGREGATE / FT.HYBRID, HNSW vector similarity and RAG retrieval pipelines.
3 views
Parse, convert, chunk, and structurally analyze PDFs, DOCX, PPTX, HTML, and images with IBM's open-source Docling toolkit.
3 views
Skill: Weaviate Database Operations
by Weaviate
Weaviate's official skill for searching and managing vector collections — hybrid, semantic and keyword search, schema inspection, filtered fetches and bulk imports.
6 views
Skill: Brave Search CLI (bx)
by Brave
Brave's official search skill: one CLI that searches, scrapes and extracts in a single call, returning token-budgeted web content instead of a list of links.
6 views
Skill: NVIDIA RAG Blueprint
by NVIDIA
Deploy, configure and troubleshoot the NVIDIA RAG Blueprint from your agent — Docker Compose, Helm or library, with feature toggles for VLM, guardrails and agentic RAG.
17 views
Skill: Qdrant Advisor
by Qdrant
Qdrant's meta-skill: instead of shipping static docs, it loads the current official Qdrant skill tree live from skills.qdrant.tech and diagnoses from that.
2 views
Skill: MongoDB Search & AI
by MongoDB
MongoDB's official skill for choosing between Atlas Search, Vector Search and Hybrid Search, then building the right indexes and queries for the use case.
2 views
MCP servers
Weaviate's MCP server, built into the database itself — hybrid search, schema inspection, tenant listing and batch upserts at /v1/mcp, scoped by RBAC.
4 views
Coveo's managed MCP server exposing enterprise search, fetch, passage retrieval and grounded generative answering over your indexed content.
1 views
MCP: Couchbase Guru
by Couchbase
Couchbase's documentation agent as a single MCP tool: ask a question about any Couchbase product, SDK or version and get an answer with source links. No cluster and no credentials.
2 views
MCP: Milvus
by Zilliz
Search and manage Milvus vector collections from an AI client — vector, full-text, and hybrid queries.
4 views
MCP: Pinecone
by Pinecone
Pinecone's official MCP server — search and manage vector indexes, and query Pinecone's docs while you build.
4 views
MCP: Chroma
by Chroma
Chroma's official MCP server — build and query vector collections directly from an AI client.
4 views
MCP: Qdrant
by Qdrant
Qdrant's official MCP server — semantic memory for AI assistants backed by a real vector database.
3 views
MCP: Dense-Mem
by markhuangai
Self-hosted agent memory server on Postgres/pgvector that tracks evidence, flags contradictions, and never silently rewrites facts.
2 views
MCP: Tavily
by Tavily
Web search and content extraction optimized for AI agents — fast, relevance-ranked results with source content.
4 views
MCP: Firecrawl
by Firecrawl
Search, scrape, crawl, and extract structured data from the web — with JS rendering, batch scraping, and LLM-powered extraction.
1 views
MCP: Context7
by Upstash
Pulls up-to-date, version-specific documentation and code examples for libraries straight into your prompt.
2 views
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