Alternatives to Ragie Connect

Open-source Microsoft Research RAG that builds a knowledge graph and community summaries from your documents, then queries them in four modes.

Production-grade multilingual NLP toolkit for Chinese and 100+ languages, with deep linguistic analysis.

Lance is an open lakehouse format for multimodal AI, pairing a file format, table format, and catalog spec with hybrid vector and full-text search on object

Elastic's free developer hub: tutorials, notebooks, and sample apps for building AI search on Elasticsearch.

OpenCrab is an ontology-first Graph RAG platform that turns documents into reusable, traceable knowledge packs

Open-source context retrieval layer that syncs your apps and databases and answers AI agent queries with grounded, real-time data.

Fully managed vector database and knowledge platform for AI retrieval, with Pinecone Nexus compiling enterprise data into governed knowledge for agent queries.

Open-source context intelligence and persistent memory for LLM agents: semantic dedup and deterministic compression in ~12ms with no LLM calls.

Open-source Python framework that incrementally keeps AI agent context fresh by reprocessing only changed data.

Self-hosted node software for the OriginTrail Decentralized Knowledge Graph — verifiable, AI-ready memory that your agents own.

Powabase is a managed Postgres backend for AI apps, with RAG and agents running inside each project's own isolated stack.

Research lab behind SID-1, an agentic search model for AI context retrieval.

Open-source RAG engine with built-in ETL, hybrid search and agentic retrieval for enterprise AI agents.

Hosted multimodal retrieval API that hands your AI agent evidence — file, page, and passage — instead of raw search hits

Fully managed vector lakebase for billion-scale AI search, RAG, and recommendations, built on open-source Milvus.

Open-source distributed SQL database unifying transactions, HTAP analytics, and native vector search for AI agents.

In-memory graph database that supplies structured context to AI systems and runs real-time graph analytics on the same engine.

SLM-powered HTML main content extractor for RAG and agent pipelines.

API-first document parsing that turns PDFs, spreadsheets, and slides into source-linked structured JSON for AI agents and RAG pipelines.

GRID is a headless spreadsheet engine that lets AI agents run Excel goal seek, what-if analysis and cell edits as direct tool calls.

Data-access runtime that sits between your AI agents and your databases, files, and APIs — caching, redacting, and gating writes.

Power BI AI skills and subagents for Claude Code and GitHub Copilot users.

Deeplake is the GPU database for AI agent workloads — serverless Postgres with GPU-accelerated vector search built for agents.

Long-term memory for AI agents: one API call per turn stores facts and returns the memories your next prompt needs.

TopK is a unified retrieval engine — search, multi-vector models, and inference in one API for high-recall RAG and agent memory at billion-document scale.

Kronotop is a distributed transactional document database on FoundationDB that gives every AI agent or tenant its own namespace with built-in vector search.

Graph and vector persistent memory for AI agents — push JSON, get a typed, searchable graph.

RAGatouille is an Apache-2.0 Python library that makes ColBERT late-interaction retrieval usable in any RAG pipeline with a few lines of code.

Multimodal retrieval platform that turns video, image, audio and document files in your own object storage into searchable, timestamped scenes.

Collaborative AI development platform for prompt management, dataset evaluation, and production LLM monitoring.