LlamaIndex
Framework and cloud platform for building retrieval augmented generation pipelines with connectors indexing tools agents and hosted inference credits.
Overview
LlamaIndex provides open source libraries and a managed cloud for connecting data to LLMs. Developers use connectors to bring in files drives databases and apps then build indexes retrievers and query engines that ground model answers in private content. The hosted LlamaCloud adds credits for ingestion and queries multi user workspaces data agents observability and deployments with REST endpoints.
Teams start on Free then move to Starter for small apps or Pro for heavier loads with more credits and users while enterprises get SSO VPC and custom limits. The ecosystem integrates with LangChain vector stores and major model providers so you can swap components without lock in. Typical outputs include chat over docs semantic search evaluators and agents that call tools while citing sources for trust.
Key features
- 50 plus connectors for files drives DBs and apps
- Indexers retrievers rerankers and query engines
- Agents that call tools while grounding with citations
- Hosted cloud with credits users and deployments
- Observability tracing evals and guardrails
- Ecosystem integrations with LangChain and stores
- REST endpoints and SDKs for serving apps
- SSO VPC and controls for enterprise
Best for
- Build chat over docs with citations for internal teams
- Create semantic search and QA for customer portals
- Ingest and segment long PDFs with table extraction
- Wire up agents to back office tools for workflows
- Deploy REST endpoints for product integrations
- Evaluate prompt pipelines with traces and metrics
- Swap models or stores without rewriting code
- Collaborate in workspaces with shared credits
Capabilities
Sources and Indexes
Use connectors to ingest files drives and apps then build indexes retrievers and rerankers that fit your latency and quality targets.
Query Engines and Agents
Compose chains that ground answers with citations and call tools safely via agents and function calling.
Cloud and Endpoints
Serve apps with LlamaCloud credits workspaces and REST endpoints while tracking usage.
Observability and SSO
Trace evaluate and secure apps with logs tests SSO and optional VPC to meet enterprise requirements.
Frequently Asked Questions
How does pricing work and what is the entry plan?
LlamaCloud has a Free plan and paid tiers start at $50 per month with credits for ingestion and queries plus more users.
Can I keep using open source and mix with cloud?
Yes most teams develop with OSS locally then deploy or scale on the managed cloud for reliability and collaboration.
Which models and vector stores are supported?
The framework integrates with many providers so you can choose based on cost latency and quality without lock in.
How do I evaluate quality before rollout?
Use evaluators traces and test datasets to compare prompts retrievers and rerankers then set guardrails.
Is SSO or VPC available for enterprise security?
Enterprise plans include SSO options and VPC or dedicated deployments for stricter environments.
Can I expose an HTTPS API for my app?
Yes LlamaCloud deployments create REST endpoints and SDKs so products can consume your RAG services.
