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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

CodebaseChat logo
CodebaseChat
✓ verifiedFreemium

Connects Git repos to answer plain-English questions about your code with file references and dependency context.

Graphlit logo
Graphlit
✓ verifiedFreemium

Developer platform to integrate LLMs and process unstructured data.

Pine Script Wizard AI logo
Pine Script Wizard AI
✓ verifiedPaid

AI Pine Script generator for TradingView strategies and indicators.

9.8K visits/mo4.4K saves
DeepWiki logo
DeepWiki
✓ verifiedFree

Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.

1.2M visits/mo
Vespa logo
Vespa
✓ verifiedFree trial

Open-source AI search and vector database platform for building large-scale search, RAG, and recommendation systems.

Pricing
Starter: $0 (1 repo, 50 questions/mo)
Pro: $12/mo (10 repos, unlimited questions)
Team: $49/mo (unlimited repos, SSO)

No public pricing

Paid Account: $9 USD

No public pricing

No public pricing

Free trial available

Core features
  • Natural-language search across a codebase
  • Architecture explanations and dependency graphs
  • Bug hunter that traces issues across files
  • AI code review before opening a PR
  • Automatic documentation generation
  • Multi-repo support via OAuth
  • AI-powered Pine Script code generation
  • Custom strategy and indicator creation
  • Error correction and code optimization
  • TradingView integration
  • AI-generated documentation for GitHub repos
  • Conversational Q&A about a codebase
  • Browsable index of popular repositories
  • Deep code indexing via Devin
  • Combined vector, text, and structured search
  • Distributed machine-learned ranking at query time
  • Streaming search mode for cost-efficient personal/private data
  • Support for retrieval-augmented generation pipelines
  • Continuous deployment and automated scaling
  • Open-source core with a managed cloud option
Use cases
  • Onboarding new engineers faster
  • Answering questions about a codebase
  • Understanding how components connect
  • Finding and diagnosing bugs
  • Generating documentation from code
  • Generating custom trading strategies for backtesting on TradingView
  • Creating custom indicators for technical analysis
  • Automating the process of writing Pine Script code
  • Understanding an unfamiliar codebase quickly
  • Onboarding to open-source projects
  • Answering questions about repo internals
  • Building large-scale enterprise search engines
  • Powering RAG pipelines that need strong retrieval relevance
  • Building recommendation and ad-targeting systems
  • Search over personal/private data at lower indexing cost
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