RAG
Retrieval-augmented generation, vector stores, indexers.
74 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.
Langchain-Chatchat
Self-hostable RAG and agent framework that wires LangChain to any local open-source LLM and a knowledge base.
Agentset
Production-ready RAG infrastructure with agentic search, citations, and model-agnostic plumbing.
Epsilla
Agent-as-a-Service platform with managed RAG and a no-code builder for vertical enterprise AI.
Pathway
Live data framework for production RAG and streaming ETL pipelines in Python.
Rayyan
AI-assisted systematic review platform for screening, deduplicating, and extracting data from large literature corpora.
Cognee
Open-source graph-memory layer that gives AI agents persistent, queryable context across sessions.
Emergent Mind
AI-curated arXiv discovery layer that summarizes frontier papers and aggregates social discussion around them.
FinChat (Fiscal.ai)
AI copilot for equity research that reads filings, transcripts, and KPI tables across 100,000+ public companies.
Graphiti
Open-source temporal knowledge graph framework for building agent memory that updates in real time.
OneKE
Open-source multi-agent framework for schema-guided knowledge extraction from documents.
Perplexity AI
Conversational answer engine that cites its sources by default.
WeKnora
Tencent's open-source RAG framework that turns raw documents into a queryable knowledge base, ReAct agent, and self-maintaining wiki.
BGE (BAAI General Embedding)
Open-source embedding and reranker models from BAAI that anchor a huge share of production RAG stacks.
Elicit
AI research assistant that searches, screens, and extracts data from 138M+ academic papers at scale.
FutureHouse Platform
Multi-agent AI research stack for scientists, with retrieval over 175M+ papers, patents, and trials.
LangExtract
Google's open-source Python library for LLM-driven structured extraction from unstructured text, with source-grounded outputs.
OpenDataLoader PDF
Open-source PDF parser built for RAG pipelines, with reading-order detection, table extraction, and bounding-box citations.
PostgresML
PostgreSQL extension that runs embeddings, vector search, and LLM inference inside your database.
Rivestack
Managed Postgres with pgvector on dedicated NVMe, pitched as a cheaper RAG backend than Pinecone or Supabase.
SiteGPT
Custom GPT-powered support chatbots trained on your website content and docs.
SiteSpeakAI
Custom-trained chatbot that turns your website, docs, and PDFs into a multilingual support and lead-gen agent.
UltraRAG
Low-code, YAML-driven RAG pipeline orchestrator with a visual UI for building and demoing retrieval systems.
GaliChat
No-code AI chatbot builder that trains on your website content for support and lead capture.
Graphify
Open-source on-device knowledge graph engine that turns code, docs, papers, meetings and images into a queryable graph.