Use Case
Retrieval-Augmented Generation
Grounding models in your own documents and knowledge bases.
21 providers
472 APIs
16 declared variants
Embedding, indexing, and retrieving private content so a language model can answer from it — vector search, chunking, knowledge bases, and the RAG pipelines that wire retrieval into generation.
21 API providers on the APIs.io network offer retrieval-augmented generation. The highest-rated are Confluence, Airbyte, Merge, OpenAI, Microsoft Copilot.
Providers
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 5 Complete, well-documented, and agent-ready
Confluence
APIs for Atlassian Confluence - team collaboration and knowledge management software.
Airbyte
Airbyte is an open-source data integration platform that enables businesses to easily and efficiently move ...
Merge
Merge is the connective infrastructure for production AI. The Merge Unified API offers one API surface acro...
OpenAI
APIs for accessing OpenAI's artificial intelligence models including GPT, DALL-E, Whisper, and Embeddings.
Microsoft Copilot
Microsoft Copilot is an AI-powered assistant that helps users with productivity tasks, content generation, ...
Strong 6 Solid coverage with minor gaps
Wikidata
Wikidata is a free, collaborative, multilingual knowledge graph hosted by the Wikimedia Foundation. It prov...
Weaviate
Weaviate is an open-source, AI-native vector database that enables developers to build semantic search and ...
Chroma
Chroma (Chroma DB) is an open-source AI-native embedding database designed to make it easy to build LLM app...
Vespa
Vespa is an open-source AI search engine, big-data serving engine, and vector database originally developed...
Azure Databricks
Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a c...
AIMLAPI
AIMLAPI is a unified AI model API gateway providing access to 400+ state-of-the-art AI models from OpenAI, ...
Developing 5 Usable, with meaningful gaps to close
Gemini
Google's Gemini API provides access to state-of-the-art generative AI models for text generation, multimoda...
Amazon Nova
Amazon Nova is a new generation of state-of-the-art foundation models from Amazon that deliver a compelling...
Apache Jena
Apache Jena is a Java framework for building Semantic Web and Linked Data applications. It provides APIs fo...
Apache Solr
Apache Solr is an open-source enterprise search platform built on Apache Lucene. It provides distributed in...
IEEE Xplore
IEEE Xplore is the authoritative technical library operated by the Institute of Electrical and Electronics ...
Thin 1 Limited public surface area
Emerging 3 Early or largely undocumented
Model Context Protocol (MCP)
Model Context Protocol is an open, JSON-RPC 2.0 protocol from Anthropic that standardizes how AI applicatio...
Apache Lucene
Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It ...
Evals
A landscape catalog of the platforms, frameworks, libraries, and benchmark suites used to evaluate large la...
Minimal 1 Almost no public developer surface
What Providers Actually Declared
This use case is a canonical term. These are the free-text strings
providers wrote in their own apis.yml that map onto it.
AI and RAG ApplicationsAI/ML Vector SearchBuilding retrieval-augmented generation (RAG) applicationsEnterprise Knowledge RetrievalKnowledge BaseKnowledge Base AccessKnowledge base for AIMultimodal Semantic SearchRAG (Retrieval Augmented Generation)RAG ApplicationsRAG Pipeline EvaluationRAG Pipeline TuningRetrieval Augmented GenerationRetrieval-Augmented GenerationSemantic SearchVector Database Population
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