RAG
Retrieval-augmented generation, vector stores, indexers.
95 tools
RAG isn't a model, it's an architecture — retrieve, augment, generate. The choice is between frameworks that orchestrate the retrieval and the vector stores underneath.
Includes RAG frameworks (LlamaIndex, LangChain), managed vector databases (Pinecone), open-source vector stores (Weaviate, Chroma, Vespa), and hybrid-search engines.
Pick LlamaIndex when retrieval quality is the bottleneck. Pick Pinecone for zero-ops production. Pick Weaviate or Chroma for self-hosted or budget-conscious. Pick Vespa at scale beyond a few million docs.
Pinecone
FeaturedManaged vector database for production-scale similarity search.
LlamaIndex
FeaturedData framework for connecting LLMs to your data.
Elasticsearch Vector Search
Hybrid vector + keyword search in the enterprise-grade Elasticsearch engine
Snowflake Cortex
Generative AI and RAG built into the Snowflake data cloud
DataStax Astra DB
Serverless vector and document database for production RAG and AI agents
MongoDB Atlas Vector Search
Vector search built into the operational database you're already using.
Quivr
Open-source RAG framework for building custom AI assistants over your own documents in a few lines of Python.
Weaviate
Open-source vector DB with hybrid search and modules.
LangChain
The broad LLM application framework — chains, agents, retrievers.
Vanna.ai
Open-source text-to-SQL agent that learns your schema and writes queries against your real warehouse.
Feast
Open-source feature store that serves consistent features to ML training and online inference, with RAG vector search built in.
LanceDB
Open-source multimodal lakehouse and vector database built for AI training and retrieval at petabyte scale.
Scite
AI research assistant that grades citations as supporting, contrasting, or mentioning across 1.6B citation statements.
Vespa
Yahoo's open-source search engine with vector + sparse retrieval.
Chroma
Embedded, developer-friendly vector store for Python.
Cube
Semantic layer that grounds LLM agents in your real business metrics instead of letting them hallucinate SQL.
Databricks Vector Search
Managed hybrid vector search that lives inside the Databricks lakehouse and auto-syncs with your source tables.
NotebookLM
Google's source-grounded research notebook that turns your documents into chats, briefs, and AI-hosted podcasts.
RAGFlow
Open-source RAG engine with deep document parsing, hybrid search, and visual agent orchestration.
Exa
Web search API built for AI agents, with structured outputs and token-efficient highlights.
Firecrawl
Web scraping and crawling API that returns LLM-ready markdown, JSON, or structured data from any URL.
Wren AI
Open-source GenBI semantic layer that lets AI agents query your warehouse in natural language with governed, accurate SQL.
AnythingLLM
Open-source desktop and self-hosted app that turns your documents into a private chat-and-agent workspace.
Humata.ai
Chat-with-your-documents RAG tool with citation-backed answers across uploaded PDFs and files.