Pinecone vs Cody
Managed vector database for AI — RAG, semantic search, recommendations
vs. AI coding assistant by Sourcegraph — code graph + enterprise codebase context
Pricing tiers
Pinecone
Starter (Free)
2 GB storage, 2M write units/mo, 1M read units/mo, up to 5 indexes. us-east-1 AWS only.
Free
Standard
$50/month minimum. Unlimited storage ($0.33/GB/mo) + writes ($4-4.50/M) + reads ($16-18/M). 20 indexes/project. Multi-region, multi-cloud.
$50/mo
HIPAA Add-on
$190/month add-on for HIPAA-eligible workloads.
$190/mo
Enterprise
$500/month minimum. Higher per-unit rates for dedicated infra + SLA. 200 indexes.
$500/mo
Cody
Cody Free
$0. 500 autocompletes + 20 chat messages/mo. Claude Sonnet + GPT-4o-mini.
Free
Cody Pro
$9/user/mo. Unlimited autocomplete, unlimited chat, premium LLMs (Claude Opus, GPT-5).
$9/mo
Enterprise Starter
$19/user/mo. Adds advanced context (code graph), SSO, centralized billing.
$19/mo
Enterprise
$59/user/mo. On-prem deploy option, full Sourcegraph platform, audit logs, SLA.
$59/mo
Free-tier quotas head-to-head
Comparing starter on Pinecone vs free on Cody.
| Metric | Pinecone | Cody |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Pinecone · 13 features
- Backups + PITR — Automated + manual backups.
- HIPAA Eligible — BAA available via add-on.
- Metadata Filtering — Filter vectors on metadata at query time.
- Monitoring — Metrics endpoint, export to Datadog/Prometheus.
- Namespaces — Multi-tenancy inside an index. Isolate vectors per customer.
- Pinecone Assistant — RAG-as-a-service: upload docs → get a ready chat endpoint.
- Pinecone Inference — Hosted embedding models (multilingual-e5, llama-text-embed-v2, etc.) inside data…
- Pod-Based Indexes — Dedicated pods (p1, s1, p2) for consistent low-latency workloads.
- Private Networking — AWS PrivateLink / VPC peering on Enterprise.
- RBAC — Per-project + per-API-key roles.
- Rerank (Cohere-backed) — Optional reranker on top of vector search.
- Serverless Indexes — Pay per use. No provisioning. Auto-scales.
- Sparse-Dense Vectors — Hybrid search: sparse (keyword) + dense (semantic) together.
Cody · 17 features
- Audit Logs — Enterprise compliance.
- Autocomplete — Inline code completion.
- Batch Changes (Enterprise) — Large-scale automated refactors.
- Chat — Conversational AI with @-context.
- Code Graph Context — Automatic dependency-aware context.
- Commands (Slash) — Pre-built prompts (/explain, /doc, /test).
- Custom Prompts — Shareable team-level prompt library.
- Inline Edit — Highlight code → edit via natural language.
- JetBrains Plugin — IntelliJ/PyCharm/WebStorm/etc.
- @ Mentions — Add files/symbols/URLs as context.
- Multi-LLM Selection — Pick Claude/GPT/Gemini per request.
- Neovim Plugin — Nvim integration.
- On-Prem Deploy (Enterprise) — Self-host full Sourcegraph + Cody.
- OpenCtx Extensions — Third-party context providers.
- Prompts Library — Team-wide reusable prompts.
- SSO (Enterprise) — SAML + OIDC.
- VS Code Extension — Primary IDE.
Developer interfaces
| Kind | Pinecone | Cody |
|---|---|---|
| CLI | Pinecone CLI | src CLI (context tool) |
| SDK | go-pinecone, @pinecone-database/pinecone, pinecone-java-client, Pinecone.NET, pinecone (Python) | — |
| REST | Data Plane (per-index), Pinecone Control Plane | Cody API (Enterprise) |
| MCP | Pinecone MCP | — |
| OTHER | — | Cody for JetBrains, Cody for Neovim, Cody for VS Code, Sourcegraph Cloud Web |
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