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.
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 vector database for semantic search, retrieval-augmented generation, and hybrid search.
Open (open weights/source) BSD-3-Clause
Use cases
- Retrieval-augmented generation pipelines for LLM apps
- Semantic search over documents and product catalogs
- Recommendation and similarity-matching systems
Pricing: Weaviate is free to self-host (BSD-3-Clause); Weaviate Cloud is a paid managed service priced by usage and tier.
Pricing ↗ · Sources
This record was last reviewed on 2026-09-10.
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.
Related: shares the task Running models yourself, Questions over your own documents
Cohere's open-weight LLM family optimized for retrieval-augmented generation and tool use; succeeded by Command A as Cohere's flagship.
Open (open weights/source) CC-BY-NC-4.0
Use cases
- Enterprise RAG assistants grounded in company documents
- Building agents that call external tools and APIs
- Research on open-weight instruction-tuned models
Pricing: Model weights are free for non-commercial research under a CC-BY-NC license; commercial access is via Cohere's usage-priced API and enterprise deployments.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
Related: shares the task Running models yourself, Questions over your own documents
Open-source desktop app for running open language models locally as an offline ChatGPT alternative.
Open (open weights/source) Apache-2.0 (main; confirmed tags: Apache-2.0 at v0.5.18-rc1-beta and v0.6.0, AGPL-3.0 at v0.5.16 and v0.5.17; other versions not individually checked)
Use cases
- Private, offline AI chat on personal hardware
- Local development against an OpenAI-style API
- Experimenting with open models without a GPU cloud
Pricing: Jan is free and open source; users optionally pay third-party providers if they connect cloud models.
Documentation ↗ · Sources
This record was last reviewed on 2026-10-13.
Related: shares the task Running models yourself, Questions over your own documents
Korean AI company offering the Solar LLM family, document AI models, and an API platform for enterprise workflows.
Freemium
Use cases
- Automating document-heavy workflows such as invoices, claims, and contracts
- Building assistants and agents on an API-first LLM platform
- Running document AI in environments that require on-premises deployment
Pricing: Upstage meters API use by tokens or document pages and offers prepaid tiers (Explore, Build, Scale) that add credits and higher request limits; enterprise pricing is custom. Some features and models have free or beta access, including an education and public-interest program.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-10-09.
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.