AI Topic: Retrieval-Augmented Generation

RAG Systems that enhance LLM outputs by retrieving relevant information from external knowledge bases, combining the power of generative AI with information retrieval for more accurate and contextual responses.

AI Tools in Retrieval-Augmented Generation (8)

LangMem

25d

Agent Memory

Open-source SDK from LangChain for long-term memory in LLM agents, with hot-path tools, a background memory manager, and native LangGraph storage integration.

Zep

25d

Agent Memory

Context engineering platform that gives AI agents long-term memory via a temporal knowledge graph, Graph RAG, and context assembly. SDKs for Python/TS/Go, MCP server support, and usage-based pricing.

Mem0

25d

Agent Memory

Memory layer for AI apps and agents. Open-source SDK + managed API that adds long-term, semantic and graph memory with fast retrieval, policy controls, and analytics.

Parallel

26d

Web Research

High-accuracy web research and search APIs built for AI agents, providing structured answers, citations, and MCP-ready integrations.

Chroma

26d

Vector Databases

Open-source search & retrieval database with a hosted cloud for vector, full-text, regex, and metadata search.

Zapier Chatbots

1mo

Conversational Agents

Build embeddable AI chatbots trained on your URLs/files and hand them off to Zaps to take action—14-day free trial.

Supermemory

2mo

Agent Memory

A developer-friendly memory API with semantic search and content ingestion for building AI apps that remember.

ChatLLM

3mo

Conversational Agents

An enterprise-grade conversational LLM platform by Abacus.AI for building and deploying custom chat interfaces and assistants.

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