Listed together in guide “Local and private document Q&A”
Managed vector database for similarity search and retrieval in AI applications.
Freemium
Use cases
- RAG pipelines over enterprise documents
- Semantic search in products
- Recommendation and deduplication systems
Pricing: The Starter tier is free with capacity limits; Standard and Enterprise plans bill by storage, reads, and writes on serverless usage.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Listed together in guide “Local and private document Q&A”
Open-source platform for building LLM applications with visual agent workflows, RAG pipelines, and model management.
Open (open weights/source) Dify Open Source License (modified Apache-2.0)
Use cases
- Building internal AI assistants over company knowledge
- Prototyping and shipping agentic workflows without heavy coding
- Standardizing LLM app development across a team
Pricing: Self-hosting Dify is free under its open-source license; Dify Cloud offers a free sandbox and paid plans, with enterprise licensing for advanced needs.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-10.
Listed together in guide “Local and private document Q&A”
Open-source framework for building LLM applications and agents, with LangSmith and LangGraph for observability and orchestration.
Open (open weights/source) MIT
Use cases
- Building RAG pipelines and chatbots
- Orchestrating multi-step agents
- Debugging and evaluating LLM applications
Pricing: The framework is free and open source; LangSmith offers a free tier plus paid plans for teams.
Pricing ↗ · Sources
This record was last reviewed on 2026-09-10.
Listed together in guide “Local and private document Q&A”
Open-source data framework for connecting LLMs to private data, powering retrieval-augmented generation and document agents.
Open (open weights/source) MIT
Use cases
- Building RAG over enterprise documents
- Question answering on PDFs and knowledge bases
- Document-processing agents
Pricing: The framework is free and open source; LlamaCloud and LlamaParse are usage-priced hosted services.
Pricing ↗ · Sources
This record was last reviewed on 2026-09-10.
Related: shares the task Running models yourself
German AI company that builds sovereign large language models and enterprise AI platforms for industry, public-sector, and defense customers.
Paid
Use cases
- Public-sector and defense applications that require data to stay in Europe
- Enterprise assistants in industry, administration, and science
- Research collaborations on transparent language models
Pricing: Aleph Alpha sells to organizations rather than consumers and does not publish list prices; commercial terms are arranged directly with enterprise and public-sector customers.
Documentation ↗ · Sources
This record was last reviewed on 2026-09-10.
Related: shares the task Running models yourself
Managed AWS service for building applications with foundation models from multiple providers via one API.
Paid
Use cases
- Enterprise apps that need a choice of models under one API
- RAG systems grounded in private company data
- Regulated workloads requiring AWS data controls
Pricing: Pricing is usage-based per input/output token, with on-demand and provisioned-throughput options.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself
AWS portfolio of Amazon-built foundation models and services for text, multimodal, speech, custom model building, and UI-automating agents.
Paid
Use cases
- Cost-sensitive chat, summarization, and multimodal analysis on AWS
- Building a custom frontier model with Nova Forge
- Automating production UI workflows with Nova Act agents
Pricing: Amazon Nova is billed through AWS, typically via Amazon Bedrock, with usage-based pricing that varies by model and service.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-09-04.
Related: shares the task Running models yourself
Open-weight bilingual LLM family from Beijing-based Baichuan Intelligence, now focused on medical AI with its Baichuan-M reasoning models.
Open (open weights/source) Baichuan Community License
Use cases
- Building Chinese-language NLP applications on open weights
- Research on bilingual large language models
- Medical AI assistants based on the Baichuan-M series
Pricing: Open-weight Baichuan models are free to download for research, with licensing terms for commercial use; hosted APIs are billed by usage.
Sources
This record was last reviewed on 2026-09-10.